Location: Taiwan
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.
About the Role
We are looking for a technically strong, hands-on
QA Engineer
to join our hardware team on-site at ODM factories in Taiwan. This is not a checklist job - we're looking for someone who enjoys digging deep into technical issues, investigating root causes, and taking ownership of complex hardware problems.You'll be the key person ensuring the quality of our servers and racks before they ship, but more importantly, you'll play a critical role in debugging failures, analyzing test data, and working closely with RnD, logistics, and factory teams to continuously improve the process and the product.This is a deeply technical role that blends hardware validation, manufacturing QA, and problem-solving - perfect for someone who understands how servers are built and tested, and wants to make sure every unit that leaves the factory is production-grade.
What You'll Own
Technical Investigation & Debugging
Investigate complex problems (e.g., high GPU failure rate, power-related test failures), gather logs, run diagnostics, and escalate with context to RnD when needed.
Drive root cause analysis across factory teams and internal engineering groups.
Document findings and help define preventive actions for recurring problems.
Act as the first line of technical escalation for hardware issues discovered during factory QA or internal testing.Engineering Support
Participate in new platform bring-up sessions together with the visiting RnD teams during on-site trips to ODM labs.
Provide technical support, coordination, and hands-on assistance during the bring-up process.
Help ensure early-stage hardware behaves as expected, and escalate integration or platform issues to the relevant teams.On-Site Product QA
Perform visual inspections of completed products (servers, racks) before packaging.
Define and maintain QA checklists and inspection procedures tailored to different product lines.
Verify inventory records at the factory against internal system data (part numbers, serials, configurations).
Oversee the product packaging process for compliance with defined standards.
Supervise pickup operations: ensure outbound trucks meet shipment conditions and schedules.Failure Rate Monitoring & Analytics
Collect failure data from vendor-side burn-in and our own test systems.
Analyze failure trends and estimate spare part needs for future datacenter deployments.
Use dashboards and structured reporting to communicate insights with QA, engineering, and supply chain teams.Feedback Loop & Quality Improvement
Gather and process feedback from datacenters on each delivered batch of equipment:
* Report on packaging issues, impact sensor triggers, shipping anomalies.
* Assess rack-level build quality: cabling, bracket alignment, labeling.
* Log systemic hardware issues (design flaws, infant mortality, recurring failures).
Forward the feedback to the teams: logistics, ODM partners, hardware RnD, QA.Test Infrastructure & Validation
Assist with deployment and maintenance of test infrastructure on-site.
Ensure Nebius post-manufacturing hardware validation tests run smoothly (uptime, monitoring, coordination with support team).
Coordinate real-time issue escalation and basic triage with factory and internal teams.Local Insight & Communication
Communicate relevant local risks and context (e.g., typhoons, holidays, factory-specific constraints) to our global logistics and hardware teams.
Maintain productive relationships with factory staff, logistics providers, and internal stakeholders.
Working Conditions & Tools
During production peaks, issues may arise that require fast, hands-on debugging and resolution on-site. Flexibility is expected: you may need to stay late to investigate failures in freshly built batches or arrive early to verify and unblock outbound truck shipments. Rapid response and clear communication with engineering and factory teams are critical during these high-pressure periods.
Occasional international travel may be expected to Nebius headquarters in Amsterdam or to datacenters in Europe and the US.
Daily work tools involve:
* Managing workflows and escalation via Jira
* Writing and maintaining technical documentation in Confluence
* Using Grafana dashboards for monitoring test environments and system health
* Operating with several internal inventory and test control systems
What You'll Bring
Strong technical background in hardware or systems engineering, able to independently investigate and troubleshoot complex issues with server systems.
5+ years of experience in hardware QA, manufacturing supervision, or server validation.
A strong background in R&D is a significant plus.
Solid understanding of server and rack hardware: components, layout, cabling, power/cooling, diagnostics.
Ability to read and interpret technical documentation (e.g., datasheets, system specs, debug manuals).
Solid knowledge of electrical engineering fundamentals (e.g., power specs, grounding, signal integrity).
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: Sydney
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers.
As strategic partners to law firms and in-house teams, Legal Engineers thrive in ambiguity and help lawyers do higher-quality work faster and with more confidence using Harvey.
WHAT YOU’LL DO
- Work directly with lawyers at current and prospective customers to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work.
- Serve as the voice of the customer, translating feedback and legal workflow insights into concrete, lawyer-ready product direction.
- Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt.
- Build and refine product demonstrations, workflows, and use cases that reflect how legal teams actually work, including how AI is changing that work.
- Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed.
- Provide competitive and market intelligence specific to the APAC legal tech landscape.
- Further strengthen Harvey’s reputation in the APAC region as a credible, substantive, and forward-looking AI partner to the legal industry.
WHAT YOU HAVE
You move confidently through uncertainty, you operate at speed, and ship solutions that work—iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI's potential to transform legal work, a bias towards action, and the creativity to solve problems nobody's cracked yet.
- Based in Sydney and eligible to work in Australia.
- Australian practising certificate (or equivalent common-law qualification).
- At least 3 years of experience as a qualified lawyer at a top-tier law firm (e.g., Band 1 Chambers / AFR Top 10) and/or/in-house with strong exposure to complex legal workflows and client expectations.
- Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations.
- Ability to operate seamlessly across legal, product, and sales contexts—translating between stakeholders with clarity and precision.
- Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership.
- Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them.
ADDITIONAL INFORMATION
- Location: Sydney, NSW (Hybrid with flexibility)
- Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role.
WHAT WE OFFER
- Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home.
- Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more.
- Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot.
- Retirement & Security: Comprehensive coverage designed to support your long-term well-being.
- Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents.
- Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support.
- Professional Development: Annual support for courses, certifications, conferences, and books.
- Remote Work Allowance: Monthly support for home office, internet, and phone expenses.
- Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-GW1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: United States; Phoenix; Seattle; California; Denver
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?
As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States.
In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory..
We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment.
As an Account Executive, you will:
- Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations.
- Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally.
- Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value
- Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success
- Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships
- Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions
- Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth
- Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment
You may be a good fit if you have:
- 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas.
- Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors.
- Established regional network, including state and local departments and agencies, prime contractors, and industry associations.
- Experience selling SaaS, AI/ML, or enterprise software solutions to government clients.
- High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up
- Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals
- Creativity and strong technical acumen to structure unique, mutually beneficial partnerships
- Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences
- Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%).
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
International Environment
Working on the latest tech for the Insurtech Market Leader
Competitive remuneration package
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As the Lead Full Stack Engineer at CoverGo, you will play a pivotal role in driving the technical direction and execution of our innovative insurance enterprise software solutions. Lead and mentor a team of talented engineers, guiding them through the design, development, and maintenance of our SaaS platform. Collaborate closely with stakeholders to understand business requirements, architect scalable solutions, and ensure the delivery of high-quality software. Stay abreast of emerging technologies, advocate for best practices, and foster a culture of innovation and excellence within the engineering team.
What You Will Do
Lead the end-to-end development lifecycle of our SaaS platform, from design and implementation to deployment and maintenance, ensuring alignment with business objectives and technical requirements.
Provide technical leadership and mentorship to a team of Full Stack Engineers, fostering their growth and development through coaching, feedback, and knowledge sharing.
Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, prioritizing features and enhancements based on impact and feasibility.
Drive architectural decisions and establish coding standards and best practices to ensure the scalability, reliability, and maintainability of the platform.
Conduct thorough code reviews, enforce quality standards, and promote a culture of continuous improvement through the adoption of testing methodologies and automation.
Proactively identify technical debt, scalability bottlenecks, and areas for optimization, leading initiatives to address them and improve overall system performance.
Champion security and compliance initiatives, ensuring adherence to industry regulations and best practices, and driving the implementation of robust security measures.
Stay updated with the latest trends, technologies, and best practices in software development, evaluating their potential impact and relevance to our platform, and advocating for their adoption where appropriate.
What We Need
Demonstrated leadership experience in a technical role, with a track record of successfully leading and mentoring engineering teams in the development of complex SaaS applications.
Extensive hands-on experience with Full Stack development using Node.js and related technologies, with a minimum of 8 years of relevant experience.
Proficiency in front-end and back-end technologies such as Node.js, Vue.js, GraphQL, MongoDB, Docker, and TypeScript.
Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud, with experience in architecting and deploying scalable and resilient applications.
In-depth knowledge of Test-Driven Development (TDD) methodologies, unit, integration, and functional testing, and experience with testing frameworks and automation tools.
Solid understanding of Object-Oriented Programming (OOP) principles, SOLID principles, and design patterns, with practical experience in their application.
Thorough understanding of web security best practices and experience in implementing security measures and ensuring compliance with industry regulations.
Familiarity with container technologies like Docker and proficiency in cloud infrastructure and solutions.
Experience with Nest.js is a plus.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
Proven ability to prioritize and manage multiple projects simultaneously, with a proactive and results-oriented approach.
Passion for continuous learning and professional development, with a keen interest in staying updated with emerging technologies and industry trends.
Why You'll Love Working Here
Hybrid Work Model
15 Days Annual Leave
13th-month Pay
Annual Performance Bonus
Health Insurance
Stock Options after 6 months
Company activities and events
Learning and development plan
CoverGo Company
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
VP of Research (Machine Learning)
to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage.
Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact.
Key Responsibilities
Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration.
Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models.
Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics.
Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development.
Drive research and experimentation across advanced machine learning techniques, including:
Retrieval-Augmented Training (RAG)
Mixture of Experts (MoE)
Model Distillation
Multi-Agent Orchestration
Multimodal AI Systems
Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications.
Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization.
Requirements
Extensive experience designing, building, and deploying machine learning systems in production environments.
Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance.
Proven ability to translate advanced research into reliable, production-ready AI solutions.
Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments.
Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability.
Strong ownership mindset with the ability to lead technical strategy and execution.
Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Technical Lead, Machine Learning
to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance.
Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost.
Key Responsibilities
Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment.
Fine-tune and optimize models using modern techniques such as
LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation
.
Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies.
Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products.
Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization.
Requirements
Proven experience building and deploying production-grade machine learning systems used by real users.
Strong expertise working with large language models and understanding model behavior, limitations, and failure modes.
Experience developing scalable ML infrastructure, training pipelines, and inference systems.
Strong software engineering skills with the ability to write maintainable, production-quality code.
Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety.
Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment.
Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Senior Machine Learning Engineer
to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments.
Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.
Key Responsibilities
Build and develop core machine learning systems that power AI-driven product capabilities.
Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.
Translate research concepts into reliable, production-ready machine learning solutions.
Investigate and resolve model performance issues and production system failures using real-world operational insights.
Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.
Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.
Requirements
Proven experience building and deploying production machine learning systems used by real users.
Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.
Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems.
Experience designing and implementing scalable machine learning pipelines and infrastructure.
Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment.
Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams.
Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Principal Machine Learning Engineer
to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure.
Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints.
Key Responsibilities
Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment.
Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation.
Design and operate scalable inference systems while balancing latency, cost, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies.
Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications.
Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety.
Requirements
Strong background in deep learning and transformer-based architectures.
Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production.
Proficiency with modern machine learning frameworks such as
PyTorch
or
JAX
.
Experience with distributed training and inference frameworks, including technologies such as
DeepSpeed, FSDP, Megatron, ZeRO, or Ray
.
Strong software engineering skills with experience building robust, maintainable, production-grade systems.
Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision.
Ability to independently own end-to-end machine learning systems in fast-moving environments.
Strong problem-solving skills with a focus on rapid iteration and continuous improvement.
Preferred Qualifications
Experience with one or more of the following is preferred:
LLM inference frameworks such as
vLLM, TensorRT-LLM, or FasterTransformer
Open-source contributions to machine learning or systems libraries
Scientific computing, compiler technologies, or GPU kernel development
Reinforcement Learning from Human Feedback (RLHF) pipelines, including
PPO, DPO, or ORPO
Training or deploying multimodal or diffusion models
Large-scale data processing frameworks such as
Apache Arrow, Spark, or Ray
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is looking for a
Full Stack Engineer – AI Systems
to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric.
Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications.
Key Responsibilities
Build end-to-end product features across frontend, backend, and AI integrations.
Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps.
Integrate LLMs, memory systems, and external tools into scalable, production-grade applications.
Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance.
Improve system reliability, observability, and fallback mechanisms for AI-powered features.
Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production.
Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage.
Requirements
Strong experience in full stack software engineering across frontend and backend development.
Solid understanding of system design, scalable architecture, and API development.
Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies.
Ability to work effectively in fast-paced environments with evolving requirements.
Strong ownership mindset with experience delivering features from ideation through production deployment.
Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations.
Preferred Technical Skills
Experience with some or all of the following technologies is preferred:
Next.js
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
Location: Pune, India
About Flosum
Flosum is at the forefront of innovation in the Salesforce DevOps ecosystem. Our comprehensive, Salesforce-native solution integrates version control, continuous deployment, automated merge tools, and deep code analysis—enabling development teams to move faster with confidence.
Beyond DevOps, Flosum offers enterprise-grade Disaster Recovery and a cybersecurity framework purpose-built for Salesforce, empowering organizations to fully embrace DevSecOps. Our platform is trusted by developers, architects, admins, and CIOs to meet both technical and compliance demands—all within the Salesforce ecosystem.
If you’re excited by the idea of contributing to a high-growth SaaS company with proven impact and powerful technology, we’d love to meet you.
About You
You’re an energetic, curious, and results-oriented individual eager to grow your career in tech sales. You’ve had early success in prospecting or sales development and are already used to carrying a quota and exceeding targets, now is the time to take your game to the next level. You thrive in fast-paced environments, are highly coachable, and bring both grit and empathy to your work.
You are:
Driven, self-motivated, and excited to learn.
Organized and detail-oriented—able to manage your time and leads effectively.
Collaborative and team-minded, with strong interpersonal skills.
Comfortable with ambiguity and resourceful when facing challenges.
Passionate about starting a career in SaaS or the Salesforce ecosystem.
Bonus Points If You Have:
Salesforce certifications or admin experience
Familiarity with tools like Outreach, Cognism, Lusha, or Qualified
Exposure to DevOps, cybersecurity, or Salesforce development environments
Multilingual proficiency to support global outreach
Requirements
What You’ll Be Doing
We’re growing our in-office team in Pune and we are building the sales team who will work closely with peers and sales leaders to build a qualified pipeline for our global sales teams. This role is Office based in Pune and the customers we are targeting will be largely in North American Time zones therefore you will need to be flexible to cover these hours.
In this role, you will:
Prospect into Salesforce customers via phone, email, and LinkedIn
Respond quickly and professionally to inbound leads
Qualify prospects by understanding their current challenges, goals, and fit
Schedule discovery calls and demos for Account Executives
Deliver the Flosum value prop clearly and creatively
Keep Salesforce CRM up to date with clean, accurate activity and notes
Follow internal processes and campaign playbooks to ensure visibility and reporting
Stay current on the Salesforce ecosystem, Flosum’s product roadmap, and industry trends
Work from our Pune office daily, collaborating with your manager and team
Career Growth Path
This role is built for ambitious professionals. High-performing BDRs will be considered for growth opportunities, such as Senior BDR or SMB Account Executive role, typically within 9-12 months. Promotions are based on demonstrated readiness for the next role and business needs, with clear coaching and development support provided along the way.
Benefits
Competitive compensation & incentive structure
Daily coaching, mentorship, and growth opportunity
Be part of a global, mission-driven team
Learn from top leaders in Salesforce DevOps and SaaS sales
Work on exciting challenges in a rapidly growing industry
Location: San Francisco
Workplace: OnSite
🧠 ABOUT LEGION HEALTH
At Legion Health https://legionhealth.com, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale.
Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens.
Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients.
Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV.
Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.
📍 ROLE LOGISTICS
- Job Type: Full-Time
- Role Type: GTM Engineering / Revenue Systems / Provider Partnerships / AI Automation / Data & Attribution
- Ideal Experience Level: 5+ years, including 3+ years owning GTM systems, revenue automation, growth engineering, or technical RevOps
- Location: In-Person in San Francisco, CA
- US Visa Sponsorship: Yes
🚀 THE OPPORTUNITY
Legion is hiring a GTM Engineer to build the AI-native commercial and referral infrastructure behind our provider-partnership motion. Your systems will help us identify the right provider organizations, reach the right stakeholders, turn interest into referrals, and move referred patients into care quickly.
This is not a traditional RevOps or CRM administration job. You will own the technical architecture from market mapping and outbound through referral intake, attribution, eligibility, onboarding, and partner reporting. You will configure best-in-class tools when they are sufficient and write code or build integrations, agents, and internal products when they are not.
You will build both sides of our sales motion. From the bottom up, Legion needs a complete view of every clinic, location, physician, referral coordinator, and office leader in a market. From the top down, we need to map enterprise medical groups, centralized referral teams, executives, clinical leaders, and every stakeholder who can shape a partnership. The system should tell each representative who matters, why they matter, what happened last, and what to do next.
You will also engineer the path from referral to care. Referrals may arrive through fax, forms, APIs, tracked links, QR codes, phone calls, or patients who begin online after a provider recommendation. Regardless of channel, Legion must identify the source, resolve the provider and organization, preserve attribution, process the referral, initiate eligibility and onboarding, and synchronize the right data across our CRM, product, analytics, and patient-engagement systems.
The right person is a hands-on systems builder with strong product judgment. You should be comfortable choosing a CRM, modeling complex account hierarchies, writing SQL and lightweight production code, integrating APIs, deploying AI workflows, debugging failures, and partnering with sales, product, engineering, data, operations, clinical, compliance, and security teams. Over time, you will help turn provider partnerships into a secure product that makes Legion the easiest specialty care partner in the country: simple to refer patients to, easy to collaborate with, and consistently responsive.
✅ RESPONSIBILITIES AND DELIVERABLES
- Select and architect Legion’s provider-partnership CRM—whether HubSpot, Salesforce, Attio, or another AI-native platform—as the source of truth for organizations, locations, stakeholders, opportunities, referrals, ownership, and next actions.
- Design a durable account hierarchy that connects individual clinicians, clinic locations, care teams, medical groups, parent organizations, enterprise partnerships, and internal owners without losing history or context.
- Build a provider prospecting data layer using NPI and claims data, Definitive Healthcare or similar datasets, public sources, enrichment providers, and Legion’s internal data.
- Create account-scoring and territory systems that prioritize targets using geography, specialty, patient volume, payer mix, referral potential, network relationships, and engagement signals.
- Build coordinated outbound workflows across email, phone, LinkedIn, direct mail, events, lunch-and-learns, and field sales using tools such as Clay, Apollo, LinkedIn Sales Navigator, sequencing platforms, AI agents, and custom integrations.
- Map clinic-level champions and referral coordinators alongside enterprise executives, clinical leaders, operations leaders, and centralized referral teams so Legion can sell from the bottom up and the top down.
- Equip sales representatives with accurate contact data, office addresses, account briefs, relationship history, meeting preparation, follow-up automation, and clear next-best actions.
- Deploy AI-assisted workflows for account research, stakeholder discovery, enrichment, outreach drafting, call intelligence, CRM updates, and follow-up with appropriate evaluations and human review.
- Build an omnichannel referral-ingestion layer that turns fax, forms, APIs, tracked links, QR codes, phone calls, provider handoffs, and patients who begin online after a provider recommendation into structured, traceable records.
- Automate referral processing, including document extraction, provider and organization matching, deduplication, completeness checks, routing, exception handling, and audit trails.
- Connect referral intake to insurance eligibility and AI-native front-desk workflows for patient outreach, onboarding, and scheduling so referred patients reach the right next step without avoidable delays.
- Own end-to-end attribution across the referring clinician, clinic, parent organization, partnership, sales representative, campaign, channel, UTM, QR code, landing page, fax source, and downstream patient journey.
- Integrate the provider CRM, Legion’s database, the patient-facing CRM, PostHog, Braze or another lifecycle platform, analytics systems, and custom applications into one coherent data flow.
- Partner with product and engineering to build secure provider-facing dashboards and workflows for referral volume, referral status, time-to-contact, scheduling progress, coverage and copay information, and other authorized care-coordination information.
- Build compliant workflows that return medical records, care summaries, and status updates to referring care teams through approved fax, secure email, portal, interoperability, or other authorized channels at the right cadence.
- Create dashboards and operating reviews for market coverage, stakeholder penetration, outreach performance, pipeline, referral volume, conversion, speed to care, repeat referrals, partner expansion, and revenue impact.
- Own production reliability across monitoring, logging, retries, rate-limit handling, identity resolution, testing, versioning, access control, documentation, and recovery when systems fail.
- Treat HIPAA, PHI handling, minimum-necessary access, role-based permissions, audit trails, consent, and provider trust as product requirements in every automated workflow.
- Make disciplined build-versus-buy decisions, ship useful first versions quickly, and drive adoption through clear playbooks, training, and change management.
🏆 YOU’LL BE SUCCESSFUL IF YOU…
- Give Legion a provider CRM and data model that the team trusts as the source of truth.
- Create a complete, prioritized map of each market so representatives spend time with the right organizations and people.
- Build a repeatable outbound engine that produces qualified provider conversations and pipeline through coordinated digital, field, bottom-up, and top-down plays.
- Ensure every referral is captured, processed, routed, and attributed correctly regardless of how it arrives.
- Reduce the time from referral to eligibility, patient contact, onboarding, scheduling, and completed care.
- Give referring care teams a secure, useful experience that increases trust and repeat referrals.
- Remove repetitive research, data entry, document processing, routing, follow-up, and reporting work without sacrificing accuracy or judgment.
- Build reliable systems that sales and operations adopt, improve continuously, and measurably increase referral volume, conversion, speed to care, partner retention, and revenue.
🧰 IDEAL BACKGROUND AND SKILLS
- 5+ years in GTM engineering, revenue operations, sales operations, growth engineering, business systems, data engineering, internal tools, or another systems-building role close to revenue.
- 3+ years directly owning CRM architecture, GTM automation, data pipelines, outbound infrastructure, attribution, or technically complex revenue programs.
- Strong technical foundation: advanced SQL plus the ability to write and review production-quality Python, JavaScript, or TypeScript for integrations, automations, and internal tools.
- Deep CRM fluency in HubSpot, Salesforce, Attio, or similar, including objects, associations, account hierarchies, lifecycle stages, permissions, routing, reporting, deduplication, and data governance.
- Hands-on experience with APIs, webhooks, ETL or reverse ETL, event instrumentation, identity resolution, error handling, observability, and modern data warehouses.
- Practical fluency with modern GTM tools such as Clay, Apollo, Definitive Healthcare, LinkedIn Sales Navigator, Outreach, Salesloft, n8n, Make, Zapier, Workato, or equivalent platforms.
- Production experience with LLM-powered research, extraction, classification, routing, or agentic automation, including structured outputs, evaluations, monitoring, confidence thresholds, and human-in-the-loop review.
- Strong analytical judgment across funnels, attribution, pipeline, conversion, velocity, cohort analysis, experimentation, and revenue impact.
- Strong product sense and build-versus-buy judgment. You can turn a messy frontline problem into a coherent system that people trust and use.
- Strong preference for experience in healthcare, provider partnerships, referrals, physician networks, field sales, multi-location organizations, or another complex relationship-driven business.
- Healthcare and security judgment: disciplined access controls, auditability, minimum-necessary access and data use, consent, and close partnership with compliance and clinical leaders.
- Bonus: experience with eFax, referral management, EHR integrations, HL7, FHIR, eligibility, claims, provider directories, or NPI data.
- Excellent cross-functional communication. You can translate the needs of a sales representative, referral coordinator, operator, clinician, engineer, analyst, and executive into a system that works.
- Low ego, high ownership, and startup intensity. You can diagnose the bottleneck, design the solution, ship a useful version, measure the result, and improve it quickly.
💰 COMPENSATION & BENEFITS
- Salary: $140,000 – $260,000, based on experience
- Early-Stage Equity: Meaningful ownership in a category-defining company.
- Health Insurance: Medical, dental, and vision benefits
- Additional Perks: In-person retreats, meal stipends, GTM and revenue-systems tooling budget, learning stipend, AI tooling budget
- Time Off: Flexible, unlimited vacation policy
- Work Hours: Flexible, with responsiveness around high-impact launches or system issues
- Work Setup: In-Person in San Francisco, CA
- Impact: Build the technical system that turns partnerships into faster access to high-quality medical care for all.
- Autonomy and Learning: Own CRM architecture, provider data, outbound infrastructure, referral workflows, attribution, AI automation, reporting, and partner-facing systems end-to-end.
- Growth Opportunities: As Legion scales, this role can grow into Head of GTM Engineering, Head of Revenue Operations, or a broader product and growth leadership role.
📝 HOW TO APPLY AND HIRING PROCESS
- Apply here: https://jobs.ashbyhq.com/legionhealth/3a007cb1-faad-4854-a847-e4b77eaf3a42
- Overview of our hiring process:
1. Resume + Application Screen
2. Founder Interview
3. GTM + AI Systems Deep Dive
4. Professional Reference Checks
- Estimated time-to-hire: 2 weeks
- Start date: ASAP
- Hiring manager: Arthur MacWaters
🤝 EQUAL EMPLOYMENT OPPORTUNITY
Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.
Location: India; Singapore
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 building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As an Electrical Design Engineer, you will support the design, review, and technical development of electrical systems for data centers across the APAC portfolio.
This role is ideal for a
Data Center Electrical Design Engineer
with hands-on
data center design
experience who can work across conceptual design, design reviews, partner coordination, and technical decision-making. You should be comfortable evaluating
both low-voltage and medium/high-voltage electrical systems
and helping ensure designs meet Nebius standards, local regulations, and operational requirements.
Responsibilities
Review electrical design packages for data center projects, including internal concepts and third-party partner designs.
Support development of electrical design concepts for high-density data center environments.
Evaluate UPS, LV, MV, and HV electrical infrastructure, including systems up to 400V and MV/HV systems around 11kV and above.
Review cable distribution, electrical pathways, and design coordination with data hall layouts.
Partner with mechanical, construction, commissioning, and operations stakeholders to ensure designs are buildable, maintainable, and aligned with business needs.
Assess designs for concurrently maintainable data center operations and high power-density environments.
Help identify alternative design solutions, product options, and technical tradeoffs.
Requirements
Data center electrical design experience.
Strong understanding of electrical systems used in mission-critical or data center environments.
Experience with LV and/or MV/HV electrical infrastructure.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Practical engineering mindset with ability to think beyond narrow specialization.
Nice to Have
Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
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: Singapore
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 building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the APAC portfolio.
This role is ideal for a
Mechanical Engineer
who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments.
Responsibilities
Review mechanical design packages for data center projects, including internal concepts and third-party partner designs.
Support mechanical design development for high-density data center environments.
Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures.
Coordinate closely with electrical design, construction, commissioning, and operations stakeholders.
Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards.
Help assess technical tradeoffs, alternative solutions, product options, and design risks.
Support design reviews tied to power density, airflow, cooling capacity, and operational readiness.
Requirements
Data center mechanical design experience.
Strong understanding of mechanical systems in mission-critical or data center environments.
Experience with air-cooled data center design.
Ability to evaluate mechanical capacity, flows, and design assumptions.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty.
Nice to Have
Experience with liquid-cooled data center technologies.
Experience with hyper-scale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
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: Queensland
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 motivated, hands-on Field Ops Specialist to join our team as one of our first hardware technicians on the ground in Australia. When is the hardware? The collars and towers that are what makes us Halter. This is a rare opportunity to be part of something genuinely new.
You’ll be responsible for building an efficient operational system from the ground up, getting out onto farms, and making sure our hardware infrastructure runs without a hitch. One moment you’re diagnosing a technical issue in the field, the next you’re delivering collars to a new producer. You’ll be the go-to person on the ground, the kind of person who takes ownership and gets things done.
You’ll work closely with dedicated teams in Australia, and at Halter’s Auckland HQ. You’ll play a key role in making sure our pioneering producers in the region get an unmatched experience from day one.
WHAT YOUR DAY COULD LOOK LIKE
- Infrastructure maintenance: Oversee the upkeep and repair of Halter’s on-farm infrastructure to keep operations running smoothly.
- Hardware diagnosis: Diagnose issues with our hardware and feed that information back to the right team quickly.
- Deployment support: Get out onto farms to help deploy Halter. Troubleshoot issues, support installations, and make sure things go well.
- Field insights: Feed your learnings back clearly to our product and engineering teams, so we’re always building what matters most for Australian cattle producers.
- On-call: Be part of our global on-call roster to support tower-related incidents and proactively find solutions in a timely manner.
- Data analysis: Collect, interpret, and analyse data from our hardware to optimise processes and improve operational efficiency. Spot issues before they become problems.
- Maintenance system: Help build and manage a maintenance system tailored to the Australian market.
- Collaboration: Work closely across Halter’s teams to stay aligned and drive strong customer outcomes.
- Travel: With producers spread across Australia, you’ll be on the road regularly. Expect 3 to 4 days a week and some nights away from home.
- Whatever else it takes: You’ll do what needs doing to make Halter continue to succeed in Australia.
WHO ARE WE LOOKING FOR
- Hands-on experience: Practical experience with tools, electrical work, construction, networking, or equipment fitting is a must.
- Go-getter attitude: You’re proactive, you take ownership, and you’re not afraid to figure things out on the go.
- Strong communicator: You can translate what you’re seeing in the field into clear, actionable feedback for a remote product and engineering team.
- Time management: You manage your own time well and get tasks done on schedule without someone looking over your shoulder.
- Team player: You work well with people across different locations and time zones.
- Comfortable with ambiguity: This is early-stage market entry. Things will be imperfect. You’ll thrive on that rather than be frustrated by it.
- Commitment to excellence: You take pride in delivering the best possible service and making sure Halter’s infrastructure is always at its best.
- Willingness to travel: You’re up for regular and sometimes spontaneous travel across the region.
OUR BENEFITS
- Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
- Healthy body, healthy mind. We’re partnered with Medibank Health Insurance to support your well-being.
- Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
- We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
- Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.
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: Australia
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 motivated, hands-on Field Ops Specialist to join our team as one of our first hardware technicians on the ground in Australia. What is the hardware? The collars and towers that are what makes us Halter. This is a rare opportunity to be part of something genuinely new.
You’ll be responsible for building an efficient operational system from the ground up, getting out onto farms, and making sure our hardware infrastructure runs without a hitch. One moment you’re diagnosing a technical issue in the field, the next you’re delivering collars to a new producer. You’ll be the go-to person on the ground, the kind of person who takes ownership and gets things done.
You’ll work closely with dedicated teams in Australia, and at Halter’s Auckland HQ. You’ll play a key role in making sure our pioneering producers in the region get an unmatched experience from day one.
WHAT YOUR DAY COULD LOOK LIKE
- Infrastructure maintenance: Oversee the upkeep and repair of Halter’s on-farm infrastructure to keep operations running smoothly.
- Hardware diagnosis: Diagnose issues with our hardware and feed that information back to the right team quickly.
- Deployment support: Get out onto farms to help deploy Halter. Troubleshoot issues, support installations, and make sure things go well.
- Field insights: Feed your learnings back clearly to our product and engineering teams, so we’re always building what matters most for Australian cattle producers.
- On-call: Be part of our global on-call roster to support tower-related incidents and proactively find solutions in a timely manner.
- Data analysis: Collect, interpret, and analyse data from our hardware to optimise processes and improve operational efficiency. Spot issues before they become problems.
- Maintenance system: Help build and manage a maintenance system tailored to the Australian market.
- Collaboration: Work closely across Halter’s teams to stay aligned and drive strong customer outcomes.
- Travel: With producers spread across Australia, you’ll be on the road regularly. Expect 3 to 4 days a week and some nights away from home.
- Whatever else it takes: You’ll do what needs doing to make Halter continue to succeed in Australia.
WHO ARE WE LOOKING FOR
- Hands-on experience: Practical experience with tools, electrical work, construction, networking, or equipment fitting is a must.
- Go-getter attitude: You’re proactive, you take ownership, and you’re not afraid to figure things out on the go.
- Strong communicator: You can translate what you’re seeing in the field into clear, actionable feedback for a remote product and engineering team.
- Time management: You manage your own time well and get tasks done on schedule without someone looking over your shoulder.
- Team player: You work well with people across different locations and time zones.
- Comfortable with ambiguity: This is early-stage market entry. Things will be imperfect. You’ll thrive on that rather than be frustrated by it.
- Commitment to excellence: You take pride in delivering the best possible service and making sure Halter’s infrastructure is always at its best.
- Willingness to travel: You’re up for regular and sometimes spontaneous travel across the region.
OUR BENEFITS
- Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
- Healthy body, healthy mind. We’re partnered with Medibank Health Insurance to support your well-being.
- Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
- We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
- Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.
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: 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
We are seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A
As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators.
This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you.
In this role, you will:
Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures
Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes
Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized
Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill
Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations
Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews
Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses
Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters
Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments
Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions
Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing
Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms
Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education
You may be a good fit if you:
Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end
Hold an active CPA license
Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company
Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity
Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny
Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models
Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design
Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders
Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications
Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls
Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling
Curious about and quick to adopt new AI tools, including Claude and Claude for Finance
Strong candidates may also:
Have deep, practitioner-level expertise in one or more of the following:
Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions
Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative
Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D
Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions
Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes)
Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close
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:
$230,000
—
$300,000 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.
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