Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell.
You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run.
WHAT YOU’LL WORK ON:
- Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for
- Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win
- Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research
- Carry and expand collaborations with outside research labs, for example:
- our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting
- our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance
- our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster
- Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine
- Help shape the research agenda
None of the above is prescriptive; your work will help guide our future.
YOU MAY BE A FIT IF:
- You have a research-leaning or systems background in LLM inference, with work you can point to
- You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling
- You have a record of shipping research or systems that other people build on, whether in a lab or in industry
- You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team
- You’re able to work in person in our NYC or San Francisco office
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
This role exists to ensure the physical safety, regulatory compliance, and operational resilience of Mistral's HQ.
As a member of the global security team, you will shape and execute the HQ's physical security strategy for one of the world’s leading AI companies, directly impacting the protection of employees, assets, and intellectual property. Your work will establish Mistral's HQ as a benchmark for physical security in the tech sector, enabling business growth while mitigating risks in a cutting-edge, AI-driven environment.
You will own the end-to-end physical security framework—from access control and surveillance to crisis response—collaborating closely with French authorities (Police, Gendarmerie, ANSSI) and internal stakeholders. This is a unique opportunity to build a scalable, compliant, and innovative security model that sets the standard for Mistral's expansion across Europe.
WHAT YOU WILL DO
- Define and implement a unified physical security strategy for Mistral AI’s France facilities, aligning global policies with local regulations.
- Lead the consolidation and management of security vendors under SLAs, ensuring performance, cost-efficiency, and compliance.
- Establish a regulatory compliance program to achieve 100% adherence to French/EU laws (CNIL, RGPD, NIS2) and industry standards (ISO 27001/28000).
- Deploy state-of-the-art security technologies, including AI-powered surveillance, access control, and intrusion detection systems.
- Develop and test crisis response frameworks, including emergency protocols for evacuations, lockdowns, and high-impact incidents.
- Formalize liaison protocols with French authorities to enable threat intelligence sharing and collaborative security measures.
- Optimize the France security budget (€1M–3M/year) through vendor consolidation, efficiency gains, and risk-based prioritization.
- Measure and report on security performance, ensuring zero major incidents and continuous improvement of safety standards.
WHAT WE ARE LOOKING FOR
- Proven experience designing and implementing physical security programs for large, high-stakes facilities or multi-site operations.
- Vendor management expertise with a track record of consolidating, negotiating, and optimizing security service contracts (e.g., guard services, CCTV, access control).
- Crisis leadership with hands-on experience developing and testing emergency response protocols for incidents like protests, cyber-physical threats, or natural disasters.
- Deep knowledge of French/EU compliance frameworks (CNIL, RGPD, NIS2, ISO 27001/28000) and a history of leading audits or certifications.
- Builder mentality—thrives in ambiguous environments, turning strategy into scalable, operational security solutions.
- Data-driven decision-making—uses KPIs, risk assessments, and metrics to continuously improve security posture.
- Resilience under pressure—maintains clarity and effectiveness in high-stakes, fast-evolving situations.
- Uncompromising integrity—upholds the highest ethical standards, ensuring confidentiality and trust in sensitive contexts.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote - Canada
We’re introducing Rust where correctness, performance, and reliability truly matter.
Narvar
is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us
bring Rust into the backbone of the system
— the parts that must be fast, safe, and correct under real-world scale.
This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide
what
gets built and
how
it should be built.
For this role, you should be located in Canada and able to work within EST/EDT or PDT/PST hours. We are fully remote.
Day-to-day
Design and build
high-correctness Rust services
that sit on critical platform paths
Introduce Rust into areas where safety, determinism, and performance are essential
Own systems from
architecture → implementation → rollout → operations
Make real decisions around concurrency, async boundaries, data integrity, and failure modes
Work across service boundaries in a
polyglot environment
(Rust alongside other stacks)
Collaborate with product, design, and frontend engineers to build systems that are technically sound
and
product-aware
Improve reliability, observability, and system behavior through design, not just patching
Mentor other engineers and raise the bar on system quality and ownership
What We’re Looking For
We care more about
judgment and ownership
than credentials.
You’re likely a strong fit if you:
Have built and operated
distributed systems
in production
Have
deep hands-on Rust experience
(not just experiments or side projects)
Understand where Rust shines — and where it doesn’t
Are comfortable reasoning about
concurrency, async systems, and correctness guarantees
Have experience designing APIs and data contracts that evolve safely over time
Have worked with
relational and/or NoSQL databases
at scale
Have deployed and operated services in
AWS or GCP
(We are a GCP Shop though!)
Take initiative naturally and are comfortable operating with ambiguity
Communicate clearly and make tradeoffs explicit
Bonus Points
These aren’t hard requirements, but strong indicators:
You’ve worked in
startup or high-ownership environments
You’ve owned systems in production, including on-call responsibility
You’re comfortable moving across the stack when needed (backend-first, full-stack aware)
You’ve influenced architecture by earning trust, not by mandate
You use modern tooling (including AI-assisted workflows) to
increase leverage
, not outsource thinking
(Note: we care about outcome and judgment, not how flashy your tools are.)
Why Rust at Narvar?
Because some parts of the system deserve stronger guarantees.
We use Rust where:
Bugs are expensive
Latency and throughput matter
Safety and correctness are non-negotiable
You’ll help define
where Rust belongs
, not just write Rust in isolation.
Why Narvar (From an Engineer’s Perspective)?
Real scale, real customers, real impacts
Startup-level ownership with platform-level impact
Teams that value
thinking, judgment, and responsibility
Low ego, high trust, and room to do your best work
Why Narvar?
We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!
From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.
Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-Remote
Please read our
Privacy Policy
to learn what personal information we collect in connection with your job application, and how we may use and share it.
Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.
Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract.
As a Data Annotation Specialist, you will:
- Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.
- Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests.
- Prompt models to complete complex data science tasks and review the accuracy of generated responses.
- Label, proofread, and improve machine-written and human-written software engineering-related outputs.
- Report quality and performance trends related to model/agent behaviour and project assignments.
You may be a good fit if you have:
- Exceptional data analysis and visualization skills.
- 3+ years of relevant industry experience working on real-world data science problems and pipelines.
- Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others).
- Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML.
- Prior experience re-writing, proofreading, and delivering feedback on code.
- Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.
The Candidate Journey:
- Initial Screening: Our Talent Team will review your application.
- First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.
- Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.
- Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.
- Final: Selected candidates will receive an Independent Contractor Agreement.
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If the above qualifications do not perfectly align with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
- Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
- Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Preferred duration: at least 6 months. Priority to candidates about to finalise their studies.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Product Manager on the Studio team, you will define and execute the product strategy for one of our squads : Workflows, Observability, AI Registry & Spaces, Harness & Agent Platform, APIs & SDKs, and more.
This role exists to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions.
Our Studio product provides the infrastructure enterprises need to move from prototypes to production, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets. Your squad will focus on a specific area directly impacting how enterprises deploy and manage AI systems.
You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments. Your work will shape the standards, traceability, and continuous improvement that turn AI into a dependable operational capability.
What You Will Do
- Define and communicate a clear product strategy for AI tools, aligned with company goals and market opportunities.
- Lead market and user research to uncover unmet needs and emerging trends.
- Drive end-to-end product development, from concept to launch and iteration.
- Partner with design and research to create effective user experiences.
- Collaborate with marketing and sales to launch products, including pricing and positioning.
- Align engineering, design, and business teams around priorities and trade-offs.
- Maintain a roadmap that balances short-term results and long-term goals.
What We're Looking For
- Experience with AI products, including large language models or machine learning, and understanding of technical trade-offs.
- Experience launching and scaling products, particularly in early-stage environments.
- Commitment to solving real user problems, using data and qualitative insights.
- Proven ability to align and inspire cross-functional teams without direct authority.
- Balance between strategic thinking and hands-on problem-solving.
- Strong communication skills for executives, teams, and users.
- Ability to thrive in dynamic environments where priorities shift.
- Self-directed, taking initiative to navigate unknowns and own outcomes.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Backend Engineer on the Engineering team, you will build the core systems that power our AI platform. Our team develops the backend infrastructure and APIs that enable Studio, Vibe, and Vibe Code, shaping how millions of users and developers interact with our technology. Your work will directly affect the reliability, performance, and scalability of our products.
We focus on creating robust, high-performance systems that support authentication, billing, AI tooling, and developer experience. By joining us, you will contribute to a platform that enables both internal teams and external users to build and deploy AI applications.
What You Will Do
- Design, develop, and maintain scalable backend features and APIs that power our AI platform.
- Ensure high performance and reliability across distributed systems serving millions of users.
- Build and improve systems for authentication, billing, AI tooling, and developer experience.
- Design and implement secure, scalable architectures to support our growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Write clean, maintainable, and well-documented code.
- Partner with cross-functional teams to deliver end-to-end features.
- Solve complex engineering challenges and integrate new technologies into production.
What We're Looking For
- Experience designing and building scalable backend systems and APIs.
- Strong problem-solving skills and ability to tackle complex engineering challenges.
- Experience with distributed systems and performance optimization.
- Ability to write clean, maintainable, and well-documented code.
- Experience with system architecture and secure, scalable design.
- Strong collaboration skills and ability to work with cross-functional teams.
- Experience with modern backend frameworks and technologies.
- Eagerness to learn, iterate, and deliver products.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact.
Previous experience in life sciences is welcome, but not required for this role.
Minimum Qualifications
Demonstrated experience training and evaluating large language models
Proficiency in Python and familiarity with modern ML development practices
Experience building and managing data pipelines for large-scale datasets
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Preferred Qualifications
8+ years of machine learning experience
Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
Experience working with large-scale biological datasets
Published research or practical experience in scientific AI applications or long-horizon reasoning
Background in reinforcement learning and/or pretraining
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
Contributions to open-source scientific software or databases
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Palo Alto; New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an AI Scientist, you will research and develop novel methods to advance the capabilities of large language models. This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life.
You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing.
The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit.
WHAT YOU WILL DO
- Research and develop innovative methods to advance the frontier of large language models.
- Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models.
- Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact.
- Design and implement solutions that address complex challenges in AI model development and deployment.
- Contribute to the open-source community by releasing cutting-edge models and tools.
WHAT WE'RE LOOKING FOR
- A strong publication record in a relevant scientific domain, such as machine learning or natural language processing.
- High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java.
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
- A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team.
- Experience with training large transformer models in a distributed manner.
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
- Experience with audio or speech processing, including input/output and NLP.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New Zealand
Workplace: Remote
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
ABOUT THE ROLE
We’re looking for a driven, high-performing Account Manager to join the momentum and help shape the future of farming in the North Waikato region. This is an opportunity to positively disrupt an industry and pioneer groundbreaking change, working with some of the highest-performing dairy farms in New Zealand. Serving as the primary point-of-contact for Halter customers, you will be passionate about driving farmer success for one of the world’s fastest-growing companies that will transform how they farm to become leaders in productivity and sustainability. You will be backed by a team of exceptional people on the ground in the North Island and at Halter’s Auckland HQ, to ensure this is the best job you’ll ever have.
Location - This role is to be based anywhere in the North Waikato region. Frequent travel is required as part of the position.
WHAT YOUR DAY COULD LOOK LIKE
- Revenue Retention & Expansion: You will own the retention, renewals and expansion targets of Halter’s existing revenue in the region.
- Ensure farmers are extracting full value from Halter to achieve their goals and ultimately understand the impact it’s having on their farming business.
- Account Management: Responsible for renewing customer agreements and expanding the revenue of existing Halter customers, by adding value in every interaction to drive on-farm goals and performance.
- Deployment: Supporting the onboarding, training and implementation of the Halter system on customers' farms, ensuring all relevant farm owners, managers, and workers are able to successfully use the system.
- Relationship Building: Proactively cultivate genuine and trustworthy relationships with farmers, their teams, and families, fostering strong connections and understanding.
- Farmer Success: Strategically partnering with customers to establish clear business goals, timelines, priorities and metrics of success.
- Problem-Solving: Provide prompt and effective communication and support to farmers and team members, addressing technical or operational challenges with expertise and efficiency.
- Community & Networking: Represent the Halter brand with pride, lead local discussion groups, and proactively build strong networks within the community for increased brand visibility and connections.
- Customer Advocate: Acting as the voice of the customer and bridging the gap with our product teams to provide important context about what is happening on the ground with our farmers and their animals.
- Technical Expertise: Working closely with our product teams to provide technical and practical advice from a farmer’s perspective on everything reproduction, pasture and agronomy.
Contribute to a positive team environment, supporting others to succeed and role modelling Halter’s Operating Principles.
WHO WE’RE LOOKING FOR: WE’RE BACKING POTENTIAL OVER POLISH. THESE ARE THE TRAITS THAT MATTER MOST
- A great human first
- You bring integrity, humility, and care. You do what you say you’ll do. You show up for your farmers and your teammates.
- Lifelong learner mindset
- You’re genuinely curious. You ask questions, seek feedback, and are excited to keep levelling up alongside a world‑class team.
- Hunger and grit
- You love chasing ambitious goals, solving hard problems, and sticking with it when things get tough.
- Positive energy and team spirit
- You lift the people around you, not drain them. You enjoy collaborating, sharing ideas, and celebrating others’ wins as much as your own.
- Comfort in a fast‑moving environment
- You’re at your best when things are dynamic. You can work autonomously, manage your time well, and stay focused on what matters most.
- The ability to thrive in a dynamic, fast-paced working environment with a high degree of autonomy.
- A hunger for success and personal growth, and an eagerness to evolve alongside a world-class team.
AND THESE PIECES GIVE YOU AN ADVANTAGE, BUT ARE NOT A PREREQUISITE:
- 3-5 years of experience in relationship management/account management roles.
- Experience in dairy farming or within the agriculture sector with a deep passion for helping farmers succeed.
- Strong business and commercial acumen
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: Auckland
Workplace: OnSite
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
ABOUT THE ROLE
Halter is flipping the livestock world on its head. We're scaling fast across NZ, Aus, and the US, lining up multiple new international markets, and the stakes are high.
We are looking for a Senior Hardware Test Engineer to be a technical cornerstone of our Test Engineering pillar within the broader Product Reliability Function. Our collar is tough and built for the beating it takes day in and day out on a farm, but it can always be tougher. We've iterated it to this point and learnt many tough lessons along the way. We need someone who can design and execute automated tests across 100's of samples, that turn assumptions into evidence; someone who brings rigour, creativity, and speed to every challenge they take on.
Our devices face demanding field conditions at incredible scale. We'll be the first virtual fencing company ever with 1 million devices live, and with some customers deploying thousands of units per herd, our testing must be comprehensive, automated and traceable back to product requirements on top of accounting for every edge case to guarantee reliability.
Hardware is only getting more important strategically for Halter, and you'll be right at the core, making that happen. It's a rare opportunity to accelerate your career with unique and valuable experience in a high-performance, fast-paced environment where product reliability matters most and test automation, repeatability and traceability are your tools.
This role reports to our Hardware Test Engineering Manager and sits within the Product Reliability Function. You'll be the person who owns the test strategy and test infrastructure, builds the tests, builds the rigs, analyses the data, and delivers the evidence that drives confident product decisions.
WHAT YOU'LL OWN
Your work produces the evidence that decides whether we ship, whether we hold, and what we fix next. You'll operate with a high degree of autonomy across test design, execution, and infrastructure.
Design, build, and run tests that matter:
- Own and execute the test automation strategy and overarching infrastructure (likely in Python or Teststand)
- Design and execute environmental, reliability, verification and validations tests across electromechanical sub-systems and full product assemblies: HALT, UV exposure, tumble, impact, thermal cycling, ingress, and more.
- Own tests end-to-end: from interpreting product requirements and writing test plans through to execution, analysis, and delivering clear pass/fail evidence.
- Identify gaps in requirements or test coverage and propose new methods or approaches to close them.
Build and maintain test infrastructure:
- Design and build bespoke test rigs, fixtures, and automation that makes testing faster, more repeatable, more reproducible and less manual.
- Own, maintain and integrate environmental chambers, DAQ systems, RF systems and other equipment into the test automation infrastructure, ensuring the infrastructure is always calibrated and up to a high standard.
- Continuously raise the bar on test and data throughput without compromising evidential quality or repeatability.
Deliver decision-grade data:
- Ensure every test produces data that is trustworthy, traceable, and actionable—not just raw numbers, but clear evidence that links back to requirements or risks that engineering leadership can rely on for go/no-go decisions.
- Maintain strong test governance practices: calibration records, equipment versioning, code versioning, procedure versioning, and full traceability.
- Present findings clearly to cross-functional stakeholders, turning complex results into crisp recommendations.
Collaborate across engineering:
- Partner closely with Reliability Engineering, Hardware Design, Firmware, and Production to ensure quality testing approaches are embedded early in the development cycle, not bolted on at the end.
- Work with Reliability Engineers to translate reliability requirements and product requirements into robust, efficient and scaleable test plans.
- Contribute to a culture of evidence over opinions—where "reliable" and "quality" means "proven," NOT "seems fine."
WHAT SUCCESS LOOKS LIKE
- Tests you design and run are repeatable, well-documented, and trusted across the organisation.
- Your evidence directly enables Halter to ship with confidence, driven by data rather than hope.
- Test infrastructure you build scales with the team—others can pick up your rigs, procedures, and methods and run with them.
- Reliability and Quality improves with every release, and your work is a key reason why.
WHAT WE'RE LOOKING FOR
You're a hands-on engineer who builds things that work
- Significant experience in hardware test engineering or validation in high-reliability environments (IoT, ruggedised consumer electronics, automotive, aerospace, industrial, robotics, or similar).
- You've designed and run environmental and reliability tests, and you understand the science behind the stress methods, not just the procedures.
You know the tools and the reality
- Strong experience at building a scalable and automated test infrastructure
- Strong experience with environmental testing, accelerated life testing, and reliability stress methods such as HALT/UV/Tumble/Impact etc.
- Proven ability to design and build bespoke test jigs, fixtures, instrumentation, DAQ systems, and automation.
- Solid calibration discipline and an instinct for where precision matters versus where "good enough" is actually good enough.
- Comfortable with data analysis, automate reporting and able to draw clear conclusions and value from test results.
You operate with ownership and clarity
- You take end-to-end ownership of your work and hold yourself to a high standard.
- You communicate clearly—your test reports, presentations, and recommendations are easy to act on.
- You thrive in cross-functional environments and collaborate with high standards and low ego.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: Wisconsin
Workplace: Remote
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
ABOUT THE ROLE
Ever dream about being in tech but aren’t quite ready to trade in your cowboy boots? Look no further than Halter! As the leading provider of virtual fencing technology, Halter is on a mission to enable 50% of the world’s landmass to be more productive and sustainable. This role is paramount for our growth aspirations and will enable us to continue making an impact on ranches across the US.
As a Territory Manager at Halter, you will play a critical role in driving new business growth and ensuring customer success within your designated territory. You will be responsible for executing sales strategies, building strong customer relationships, and meeting ambitious growth targets, all while acting as Halter’s on-the-ground representative. This role requires a proactive and hands-on approach, with a focus on both expansion and long-term customer satisfaction. In this role, you will prioritize daily efforts that optimize performance and drive value for your customers. Working closely with cross-functional teams, including Product, Support, and Customer Onboarding, you’ll share field insights to ensure Halter’s technology continues to meet the needs of US farmers.
Your day-to-day could include being on horseback, helping customers gather their cattle, on a side-by-side traversing their pastures, talking about how Halter could benefit their pastures, or attending industry events like CattleCon or your local Livestock Association meetups.
This role covers the the entire state of Wisconsin. Frequent travel is required as apart of this role.
WHAT YOUR DAY COULD LOOK LIKE
- Prospecting New Business: You’re driving up driveways, attending local cattle auctions, meeting with your local Livestock, Cattleman's, Stockman's associations, building your new business pipeline through outbound lead generation efforts. You’re fielding inbound leads in a timely manner, prioritizing administrative tasks with your in-field activities.
- In-Field Sales: You don’t mind getting your hands and boots dirty. Halter is best discussed over a coffee at a kitchen table, in the horse saddle, or on a side-by-side in a pasture. You’re out on the ranch helping potential customers before diving into the value of Halter. You’re dropping off coffee during calving season. You value the magic moments that make all the difference to our customers.
- Expanding Existing Opportunities: You’re always looking for new opportunities, and that includes expanding your existing customers with Halter. You find value in expanding relationships and finding new ways to increase value over time. Not every rancher will collar all of their cows, so you see this as a unique opportunity to meet your goals.
- Hitting Sales Targets: High-growth sales targets don’t scare you; you step up to a challenge and like shooting high. You’re an expert pipeline manager and don’t second-guess unqualifying a lead. You’re able to manage today’s deals while keeping next month in your sights.
- Customer Account Management: Building relationships is more than just making the sale to you. After the sale, you aim to maintain close relationships with your customers to ensure their ongoing satisfaction, provide support, and address any challenges they face with Halter’s products. You’ll also ensure a smooth handoff from sales to customer onboarding and deployment of Halter, helping customers get the most value from Halter’s solutions.
- Territory Ownership: You have a high level of ownership and take pride in what you build. Owning an entire territory means giving treatment to every corner and leaving no stone unturned. You value being the face of your territory, meeting with high-level stakeholders from various local, state, and federal agencies to build lasting relationships with regional agricultural groups.
- Customer Onboarding: Your high level of ownership doesn’t stop after the sale. You dive in to make sure your customers have the very best onboarding experience possible. You actively own the end-to-end customer experience during onboarding and deployment of Halter’s product, ensuring a smooth transition from sales to implementation even when you’ve handed off the customer to different teams across Halter.
- Field Learnings & Feedback: Feedback is not only paramount to the companies you want to work for, but it’s also ingrained in how you would own your territory. Serving as the primary point of contact for gathering customer feedback in your territory, you work tirelessly to advocate for what your customers need.
- Collaborating with Support Teams: You’re a natural collaborator, seeking out partners across Halter to resolve any issues your customers encounter, and quickly. You escalate problems as needed and ensure that customers in your territory feel fully supported.
- Attending Industry Events: You leverage opportunities at relevant industry and Halter events to generate leads and deepen relationships with existing customers. You’ll participate in demonstrations and network to expand Halter’s influence in the market.
- Contributing to the US Sales Strategy: You strongly believe that a team can only be stronger when they work together. You strive to work with the broader team to optimize and evolve the sales process, ensuring it fits the US market. As we scale, your input will help drive greater efficiencies.
YOU’LL BE GREAT IF YOU EXHIBIT
- Driven Attitude & Communication skills: Results-driven, motivated, and adaptable, you excel in high-stakes environments. You’re well-prepared and skilled at communicating with customers and internal teams alike. You are proactive and do not wait to act.
- Ranching / Cattle Experience: You know the ropes (and the reins) of ranching or cattle operations, understanding the unique challenges of the industry. This experience allows you to connect meaningfully with customers about what matters most.
- Sales & Customer Success Expertise: You have a strong history of creating new business opportunities, negotiating a value-based sales conversation, and have a background in building lasting customer relationships. You build relationships versus transactional sales, aiming for the long-term success stories and can expand existing relationships through upsell opportunities.
- Territory Management experience: Experience managing a large territory with a balanced focus on sales and customer success, ideally within agriculture or technology.
- Problem Solving & Collaboration ability: Resourceful and quick-thinking, you work well with cross-functional teams to address challenges and drive solutions.
- Willingness to Travel: Frequent travel within your territory to engage with customers and prospects.
BONUS THINGS YOU COULD BRING ALONG TO THE ROLE
- Familiarity with precision agriculture or virtual fencing technologies.
- Background in customer-facing roles within agriculture technology.
- Background in selling software (SaaS) solutions in a B2B environment.
OUR BENEFITS
- Employee Stock Ownership Plan (ESOP): Own a part of Halter and share in our growth and success
- 401(k): 100% match on the first 3% contributed, plus 50% match on the next 2% (up to a 4% employer match), with immediate vesting
- Comprehensive health benefits: Medical, dental, and vision coverage starting the first day of the month after you join (with most premiums covered, including 100% of employee-only health premiums on select plans)
- Employee Assistance Program (EAP) & paid wellness leave: Access confidential support through JustWorks plus 3 paid wellness days per year
- Personal growth fund: $750 USD per year to support learning, development, or personal growth goals
- Unlimited PTO: Take time off when you need it—no accrual required, available from day one
- Parental leave: 16 weeks paid leave for birthing parents and 8 weeks paid leave for non-birthing parents
- Onboarding travel to New Zealand: Fly to NZ for onboarding at Halter HQ in Auckland—meet the team, visit a test farm, and immerse yourself in all things Halter
The annual OTE salary range for this role is $140,000 - $165,000. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions target and annual base salary for the role. This salary range may be inclusive of several career levels at Halter and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: On-site in London (Visa sponsorship and relocation available).
Company: Seamflow is a venture-backed startup building systems to accelerate manual processes in physical industries like aerospace, healthcare, and energy.
What you will do:
— Design and build end-to-end mobile workflows from UI to local state and sync logic.
— Work directly with customers in the field to understand and translate real-world processes into software.
— Integrate AI-powered features, including LLMs and model-backed APIs, into mobile workflows.
— Develop and maintain production-grade cross-platform apps for iOS and Android.
— Own the entire product cycle from customer calls and spec writing to deployment.
Requirements:
— Strong experience with TypeScript and React Native.
— Proficiency in native mobile fundamentals (Swift/Kotlin) for modules like sensors and background tasks.
— Experience shipping and maintaining apps via App Store and Google Play.
— Ability to design for unreliable connectivity, including offline persistence and conflict resolution.
— Experience integrating AI systems (LLMs, agents) into production products.
— Must be based in or be able to relocate to London.
Nice to have:
— Founder or ex-founder experience.
— Background in early-stage or stealth startups (e.g., YC, EF, Antler).
— Experience as a forward-deployed or solutions engineer.
— Proficiency in Python for backend service development.
Culture & Benefits:
— High-ownership, high-trust environment with a world-class team from X, Google, and Amazon.
— Full relocation and visa sponsorship support.
— Provision of meals and professional tools.
— Fast-paced, in-person culture in London.
ОфисMOBILE APPLICATION ENGENEER | RELOCATION TO LONDON (VISA SPONSORSHIP) | SEAMFLOW #relocation to #London #mobile #fulltime #itjob #react #native https://teletype.in/@courierus/cpR3WJrW6aa; RELOCATION TO LONDON | VISA SPONSORSHIP Location: On-site in London (Visa sponsorship and relocation available) Company Seamflow is a venture-backed startup building systems to accelerate manual processes in physical industries like aerospace, healthcare, and energy; Must be based in or be able to relocate to London ; Full relocation and visa sponsorship support
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads.
Responsibilities
Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more
Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others
Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams
Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact
Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads
You may be a good fit if you:
Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment
Have strong proficiency in Python, Rust and/or Go
Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes
Have experience with container orchestration and infrastructure at scale
Have excellent communication skills and enjoy supporting internal partners to improve their development experience
Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges
Strong candidates may have:
Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)
Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale
Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules)
Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Amsterdam, Netherlands; Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Nebius is looking for a
deeply technical Technical Product Manager – Storage
to join the team. In this role, the candidate will own the vision, roadmap, and priorities for storage services in
Nebius Cloud
, including
block storage, file and parallel file systems, object storage, and the storage capabilities that underpin AI/ML and HPC workloads
.
The candidate will be responsible for shaping and managing backlogs for storage service teams and leading company-wide initiatives related to storage. This is a hands-on, technically demanding role: the candidate is expected to reason about storage internals, data paths, and performance trade-offs directly with engineers. It requires strong technical depth combined with the ability to coordinate across engineering, development, product, technical support, and go-to-market teams.
Responsibilities
Own and manage the product backlog
for storage service teams (block, file, parallel/HPC, and object storage)
Lead and coordinate cross-company initiatives involving storage, including
data durability, performance, capacity, and cost initiatives
Work closely with engineering and architecture teams to
define product requirements at the level of data paths, consistency models, replication and erasure coding, and performance characteristics
, and deliver new storage features
Make
informed technical trade-offs
on durability, availability, latency, throughput, and cost, and defend them with data
Partner with product marketing and technical pre-sales/post-sales teams on technical publications, go-to-market activities, customer engagement, acquisition, and retention related to storage
Ensure the delivery of storage services that meet high standards for
durability, availability, performance, scalability, and cost efficiency
, including
storage for AI/ML training and inference and HPC
Requirements
Hands-on experience building storage products in the cloud
is the single most important requirement: the candidate must have designed, built, or operated cloud storage services (not just used or integrated them), in senior engineering, architecture, or technical leadership roles at hyperscalers, cloud providers, storage vendors, or other advanced technology companies
Deep understanding of
storage systems internals
:
block, file, and object storage architectures, distributed storage, replication and erasure coding, consistency and durability models, and the read/write data path
Hands-on familiarity with technologies and interfaces such as
NVMe/NVMe-oF, iSCSI, POSIX and parallel file systems (e.g., Lustre, GPFS/Spectrum Scale, BeeGFS), Ceph, S3-compatible object storage, and RDMA-based data paths
Ability to reason quantitatively about
IOPS, throughput, latency (including tail latency), and cost per usable TB
, and to read and interpret benchmarks
Strong technical expertise in
at least two
of the following areas:
Block storage and virtualization (volumes, snapshots, replication, NVMe-oF)
File and parallel file systems for HPC/AI (Lustre, GPFS, BeeGFS, NFS)
Distributed storage internals (replication, erasure coding, consistency, repair)
Storage performance engineering and benchmarking
Object storage at scale (S3-compatible APIs, metadata, multipart, lifecycle)
Proven track record of delivering complex technical initiatives requiring coordination across multiple teams or stakeholders
Technical leadership experience is a strong plus
Product management experience is
not required
, but a strong willingness to learn and grow into the role is essential
Nice to Have
Experience with
storage for AI/ML training pipelines and large-scale HPC
(checkpointing, data loading at scale, high-throughput sequential and random access patterns)
Experience creating
technical documentation, guides, tutorials, or reference architectures
for storage products
Ideal Candidate
The ideal candidate is a
technically strong professional with a background in cloud or cloud storage products
at
hyperscalers (AWS, GCP, Azure), other public cloud providers, storage vendors, their partners, or highly digitalized enterprises
.
The candidate may come from a background in
storage engineering, distributed systems, architecture, SRE, or technical leadership
, with hands-on experience building
cloud storage services, distributed storage systems, or high-performance storage for ML and HPC
. Experience in technical product or platform ownership or technical leadership is highly valued, even if the candidate has not held a formal manager title.
Relevant experience in
ML and HPC environments
is strongly desirable given the storage demands of these workloads, though the candidate is expected to adapt quickly and learn new domains.
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day.
If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Paris; London
Workplace: Hybrid
TL;DR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform handling 100M+ API calls/month.
About us
White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.
- We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over 100M+ API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model
We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.
You will
- Train and fine-tune large-scale multimodal models (vision-language, audio, speech) from scratch and from pretrained checkpoints
- Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio
- Design and run experiments: architecture changes, data mixes, training recipes
- Build and maintain multimodal data pipelines — from raw images, video, and audio recordings to training-ready datasets, including synthetic data generation
- Train and optimize MoE architectures for efficient multimodal inference
- Build alignment pipelines: SFT, DPO, GRPO, reward modeling — across modalities, not just text
- Optimize models for production: quantization, distillation, batching, streaming and low-latency serving
- Deploy models end-to-end: from research checkpoint to production serving
- Define evaluation metrics and benchmarks that actually matter for the product: visual QA, spatial reasoning, video comprehension, speech and audio understanding
You’ll fit right in if you
- 3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic)
- Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar)
- Deep experience with multimodal architectures — you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar)
- Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modelling — not just for text
- Experience with video and/or audio sequence modelling: temporal modelling, long-context processing, efficient attention, streaming inference
- Track record of shipping models to production: you've hit latency targets and optimized inference, not just reported benchmark scores
- Comfortable with large-scale multimodal dataset curation: image-text pairs, video-instruction data, audio preprocessing, augmentation, synthetic data generation
- Familiar with MoE architectures and their trade-offs for multimodal workloads
- Strong engineering fundamentals: clean code, version control, testing, documentation
A big plus
- Understanding of audio signal processing fundamentals (spectrograms, mel features, noise reduction)
Why White Circle
- Competitive compensation package, including equity
- Flexible time off
- Paid time off in line with your local regulations, no matter where you work from
- Work from Paris or London (hybrid) + relocation package for Paris
- Best medical insurance in France
- Learning and development support for courses, conferences, and opportunities to grow your skills
- All the hardware, tools, and services you need
- Covered subscriptions for AI agents and IDEs
- Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez
Process
1. Introductory call with HR (25 min)
2. Take-home test assignment
3. Technical interview with Head of Applied Research (60 min)
4. Final conversation with CEO (45 min)
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX - Hybrid
About the team
The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business.
About the role
We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks.
You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership.
What you'll do
Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration.
Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations.
Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations.
Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs.
Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\
Must-Have Skills
Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services and distributed backends.
Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems).
Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued.
A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance.
Nice-to-Have Skills
Technical Leadership & Systems Architecture
3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (handling petabyte-scale data and working across globally distributed teams).
Proven ability to architect, scale, and secure reliable, highly observable distributed systems, with a track record of leveling up platform foundations.
Experience mentoring engineers, leading by example through high-quality code and rigorous design reviews, and fostering a culture of technical excellence.
Strong problem-solving skills with a demonstrated ability to independently drive complex projects through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts.
AI, LLMOps & Agentic Engineering
Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, LangChain, or Autogen. Deep understanding of agent harness primitives, state management, memory architectures, and tool-calling loop mechanics.
Experience establishing LLMOps foundations, including automated prompt tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), vector database optimization, context/token management, and real-time guardrailing/moderation layers.
Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/real-time inference, and model observability.
Infrastructure, Cloud & Data Platforms
Strong experience with Docker and Kubernetes for containerization and orchestration, alongside Infrastructure-as-Code tools like Terraform and public cloud ecosystems (GCP, AWS, or Azure).
Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, Postgres, and robust ETL/ELT practices.
Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, Cloudflare Workers), with the agility to contribute across a multi-language stack.
Strong foundation in continuous integration/continuous deployment (CI/CD), testing frameworks (Pytest), and robust version control practices.
Education & Communication
M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
Exceptional written and verbal communication skills, with the ability to translate complex technical architectures into clear concepts for both engineering peers and business stakeholders.
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоseniorRemote - Canada
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СтажёрParis; London; Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome; Location & work authorization: This internship is available only in France or the UK; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
San Francisco, CA
ГибридPalo Alto; New York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоNew Zealand
ОфисseniorAuckland
seniorSingapore
УдалённоWisconsin
San Francisco, CA | Seattle, WA
Amsterdam, Netherlands; Remote - Europe
ГибридParis; London; Work from Paris or London (hybrid) + relocation package for Paris
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