Location: San Francisco, CA | New York City, NY
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 teams
Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.
Representative projects:
Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.
Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.
Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.
You may be a good fit if you:
Are proficient in Python and async/concurrent programming with frameworks like Trio
Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
Have industry experience in machine learning research
Can balance research exploration with engineering implementation
Enjoy pair programming (we love to pair!)
Care about code quality, testing, and performance
Have strong systems design and communication skills
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may have:
Familiarity with LLM architectures and training methodologies
Experience with reinforcement learning techniques and environments
Experience with virtualization and sandboxed code execution environments
Experience with Kubernetes
Experience with distributed systems or high-performance computing
Experience with Rust and/or C++
Strong candidates need not have:
Formal certifications or education credentials
Academic research experience or publication history
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:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Madrid, Spain; Remote - Europe; United Kingdom
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
We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.
In this position, you will be responsible for:
Tuning the performance
of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.
Analyzing and troubleshooting
the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.
Integrating new hardware
into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.
Enhancing automation systems
for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
Configuring and managing GPU devices
and InfiniBand fabrics, ensuring efficient and reliable operation.
We expect you to have:
5+ years of professional experience in
system-level software development
(focused on performance optimization, low-level programming).
3+ years of hands-on experience with
Linux systems
(administration, troubleshooting, and performance tuning).
In-depth understanding
of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
Strong proficiency in one or more
performance-oriented programming languages
(C/C++, Go, Python).
It would be a plus if you have:
Experience with
GPU end-to-end testing
in a
cluster environment
using InfiniBand networking.
Proven track record of analyzing and optimizing the performance of
HPC workloads
(e.g., simulations, data analysis, AI/ML workloads).
Familiarity with
RDMA, RoCE, and InfiniBand
protocols for high-performance communication.
Background in
Software-Defined Networking
(SDN) and experience with
HPC cluster networking
.
Understanding of
QEMU/KVM virtualization
and managing virtualized environments.
Experience with
deep learning frameworks
such as
PyTorch
and
TensorFlow
, and their integration with HPC systems.
Familiarity with
collective communication libraries
like
MPI
and
NCCL
for distributed computing.
We conduct coding interviews as part of the process.
#LI-LH2
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: New York, New York / Remote
Workplace: remote
About the Company
Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.
About the Position
The primary focus of this role is to pioneer the development of an intelligent AI agent powered by large language models (LLMs) to enhance our security audit tools in the blockchain space. As a Blockchain Security Expert intern, you will work closely with our blockchain security team to bridge cutting-edge academic research with practical applications. Your efforts will be dedicated to designing, fine-tuning, and integrating LLM-driven AI agents that automatically analyze smart contracts and identify potential vulnerabilities. In this role, you'll be immersed in research and experimentation, exploring new methods to improve threat detection and risk assessment within our security audit platform, thereby directly contributing to more secure blockchain infrastructures.
Responsibilities
Collaborate with our blockchain security team to design and implement a large language model (LLM)-based AI agent for security audit tools.
Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments.
Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions.
Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements.
Requirements
Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with a strong emphasis on machine learning, natural language processing, and/or cybersecurity.
Deep understanding of LLM architectures (e.g., transformers) and hands-on experience in training or fine-tuning such models.
Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow).
Basic familiarity with blockchain technology and smart contract development is a plus.
Excellent analytical skills, problem-solving capabilities, and the ability to thrive in a fast-paced, innovative startup environment.
Strong written and verbal communication skills in English.
Bonus Points
Prior research or project experience in developing AI agents or automated security analysis tools.
Exposure to security audit methodologies and vulnerability assessment, particularly in blockchain or smart contract environments.
Familiarity with blockchain programming languages (e.g., Solidity) and platforms (e.g., Ethereum).
Publications or contributions to leading conferences/journals in AI, NLP, or cybersecurity.
Demonstrated ability to translate research insights into effective, production-ready tools.
Target monthly salary for this role performed is $6,000 - $8,000 if based in the US. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
CertiK accepts applications for this position on an ongoing basis.
CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.
CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf
All CertiK employees are expected to actively support diversity on their teams, and in the Company.
Workplace: remote
Location
:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
Responsibilities
:
Ability to collaborate closely with machine learning engineers and data scientists to refine AI models, develop robust model embeddings, and optimize prompts for accuracy, performance, and cost-efficiency
Develop and optimize AI agent systems, including multi-agent orchestration and tool integration
Implement and iterate on RAG pipelines, evaluation frameworks, and LLM-powered data processing solutions
Maintain and enhance applications and solutions on Python
What we expect
:
A solid knowledge of Python, with experience in writing clean, efficient, and maintainable code
Ability to design and develop autonomous agents using frameworks such as LangGraph/CrewAI/OpenAI Agents SDK, enabling intelligent decision-making and task automation
Experience in rapid prototyping using large language models (LLMs), vector databases, and knowledge graphs to explore and implement new AI-driven capabilities
Expertise in retrieval-augmented generation (RAG) workflows and document retrieval techniques to enhance content relevance
Hands-on experience working with large-scale language models, such as GPT/Claude/Gemini/Qwen, along with a solid understanding of prompt engineering, embedding techniques
Familiarity with the Model Context Protocol (MCP) for connecting LLM agents to external tools and data sources
Experience in rapid prototyping of AI-driven capabilities using LLMs, embeddings, and structured/unstructured data sources
Experience with code generation and AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Codex)
Strong written and spoken English communication skills (B2)
Nice to have
:
Experience with Python frameworks such as Django, Flask, or FastAPI
Proficiency in SQL for working with structured databases, querying data, and optimizing database performance
Familiarity with platforms Dataiku, Snowflake, Tableau, Streamlit, Artifactory, dbt
Hands-on experience with NLP deep learning frameworks such as PyTorch, TensorFlow, and Transformers
Familiarity with graph RAG approaches (Microsoft GraphRAG, LightRAG, or Neo4j-based solutions)
Understanding AI cost optimization: model routing, caching strategies (semantic caching), prompt compression, and token management
We offer
:
Competitive compensation
Remote or office work
Flexible working hours
A team with excellent tech expertise
УдалённоseniorQuantori is an international team: we have colleagues who work not only from office but also remotely from all over the world
Location: Paris; San Francisco; London; New York; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
Key Responsibilities:
- Design and write high-performant and scalable software for training.
- Improve our training setup from an infrastructure and codebase performance standpoint.
- Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure
- Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- Learn from and work with the best researchers in the field.
Qualifications:
- Extremely strong software engineering skills.
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
- Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray)
- Experience using large-scale distributed training strategies.
- Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure
- Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
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: London; New York; Paris; Toronto; Montreal
Workplace: Hybrid
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!
Role Overview:
As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization.
The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing.
Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.
Key Responsibilities:
- Design and write high-performant and scalable software for training.
- Understand architectural modifications and design choices and their effects on training throughput and quality.
- Write low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators.
- Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- Learn from and work with the best researchers in the field.
Qualifications:
- Extremely strong software engineering skills.
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
- Experience writing kernels for GPUs using CUDA, triton, etc
- Experience using large-scale distributed training strategies.
- Familiarity with autoregressive sequence models, such as Transformers.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
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: San Francisco; New York; Paris; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
At Cohere, we believe in the power of multimodal AI to revolutionise the way we interact with technology. Our engineering teams push the boundaries of what's possible, and we're looking for talented individuals to join us on this exciting journey. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for you to explore, innovate and shape the future of AI.
On July 31st 2025, Cohere's Multimodal team Introduced Command A Vision: Multimodal AI Built for Business. At release our new flagship vision-language model:
● Consistently outperforms major models like Llama 4 Maverick, Mistral Medium/Pixtral Large, and GPT4.1
● 83.1% average benchmark (73.5% MathVista, 90.9% ChartQA...)
● Built for the real world - 112B parameters running on just 2 GPUs
● Open weights live on HuggingFace
With a focused team, breakthrough performance doesn't require breakthrough compute. Focus on the things that matter, and join the team. This role is perfect for you if you:
- Have a deep passion for machine learning and its potential to impact various industries through multimodal applications.
- Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance.
- Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.
- Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.
- Have a history of delivering creative, practical solutions to real-world problems, demonstrating your ability to think outside the box.
Key Responsibilities:
- Design and develop cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision.
- Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more.
- Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field.
Qualifications:
- Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems.
- Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities.
- Knowledge of distributed training strategies, especially for large-scale multimodal models.
- Familiarity with autoregressive models, particularly their application in multimodal tasks such as image or video captioning, speech-to-text generation.
- Bonus: Publications in top-tier venues demonstrating your expertise in multimodal AI research.
- Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks.
If you're excited about the potential of multimodal AI and want to be at the forefront of this rapidly evolving field, we want to hear from you! Join us at Cohere and be a part of a diverse, remote-friendly team that's changing the world of AI.
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
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, Vietnam; Hà Nội, Vietnam
Workplace: remote
About TechBiz Global
TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully.
With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.
About the Role:
We are seeking an experienced and versatile Senior Software Engineer to join our innovative and dynamic team. This position offers a unique opportunity to design and develop cutting-edge AI-powered solutions, while also playing a key role in building software architectures and mobile applications.
Key Responsibilities
:
AI and Software Development
: Design, build, and deploy scalable AI models and software solutions, combining both machine learning/deep learning expertise and general software engineering best practices.
Architecture Design
: Lead the design and implementation of software architectures that can support AI-driven applications, ensuring scalability, reliability, and performance.
Mobile App Development
: Develop mobile applications (iOS/Android) that integrate seamlessly with backend AI systems and offer exceptional user experiences.
Cross-functional Collaboration
: Work closely with product managers, data scientists, and other engineers to define, develop, and ship software that meets business and technical requirements.
Code Quality & Documentation
: Write clean, maintainable, and well-documented code, ensuring high-quality deliverables and easy integration into the larger system.
Research & Innovation
: Stay current with the latest advancements in AI, software engineering, mobile development, and architecture patterns, proposing new tools, technologies, and techniques to continuously improve product performance.
Key Requirements
:
Experience
: At least 7 years of professional software engineering experience, with a proven track record of successfully delivering complex systems.
AI/ML Expertise
: Strong background in machine learning and deep learning with hands-on experience building and deploying models (e.g., using TensorFlow, PyTorch).
Python Development
: Proficiency in Python programming, particularly for AI/ML applications and system integration.
Architecture Design
: Extensive experience in designing and developing scalable and maintainable software architectures. Familiarity with microservices and cloud-based architectures is a plus.
Mobile App Development
: Solid experience in developing mobile applications (native iOS and/or Android), integrating backend systems with frontend apps, and optimizing for performance.
Problem-Solving
: Exceptional analytical and problem-solving abilities, with a passion for developing solutions to complex technical challenges.
Collaboration
: Strong communication skills and the ability to work effectively in a collaborative, remote team environment, with a focus on delivering high-quality solutions.
Tools & Technologies
: Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and version control (Git). Experience with mobile frameworks (React Native, Swift, Kotlin) is a plus.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — demands training data that is as rich and varied as the real world itself. We’re looking for Research Engineers to own the data behind our models: what they learn from, how well they learn it, and what new capabilities that unlocks. You will design datasets, run modeling experiments, and build the infrastructure to generate and curate data at scale — directly shaping what our models can do, with applications ranging from creative tools to robotics.
WHAT YOU'LL DO
- Design multimodal, multitask datasets that teach world models new capabilities — deciding what data to collect, generate, or curate and measuring its effect on model behavior
- Run controlled training experiments to understand how data composition drives model performance across tasks and domains
- Build and operate large-scale pipelines for synthetic data generation, filtering, and quality control
- Define evaluations and benchmarks that measure whether our models are actually improving at the things that matter
- Partner with product and creative teams to translate target behaviors and capabilities into concrete data strategies
WHAT YOU'LL NEED
- 4+ years of experience in machine learning, bonus points for data-centric approaches
- Experience with large multimodal datasets and generative models (video, image, or multimodal)
- Deep intuition for how data composition and quality translate to model capabilities
- Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again
- Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)
- Excitement about building AI that simulates the world
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom
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
We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.
In this position, you will be responsible for:
Tuning the performance
of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.
Analyzing and troubleshooting
the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.
Integrating new hardware
into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.
Enhancing automation systems
for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
Configuring and managing GPU devices
and InfiniBand fabrics, ensuring efficient and reliable operation.
We expect you to have:
5+ years of professional experience in
system-level software development
(focused on performance optimization, low-level programming).
3+ years of hands-on experience with
Linux systems
(administration, troubleshooting, and performance tuning).
In-depth understanding
of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
Strong proficiency in one or more
performance-oriented programming languages
(C/C++, Go, Python).
It would be a plus if you have:
Experience with
GPU end-to-end testing
in a
cluster environment
using InfiniBand networking.
Proven track record of analyzing and optimizing the performance of
HPC workloads
(e.g., simulations, data analysis, AI/ML workloads).
Familiarity with
RDMA, RoCE, and InfiniBand
protocols for high-performance communication.
Background in
Software-Defined Networking
(SDN) and experience with
HPC cluster networking
.
Understanding of
QEMU/KVM virtualization
and managing virtualized environments.
Experience with
deep learning frameworks
such as
PyTorch
and
TensorFlow
, and their integration with HPC systems.
Familiarity with
collective communication libraries
like
MPI
and
NCCL
for distributed computing.
We conduct coding interviews as part of the process.
#LI-LH2
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: Москва
Отдел исследования данных Управления Комплаенс ищет Руководителя направления по исследованию данных.
Основной задачей будет развитие ML моделей для процесса выявления и расследования случаев легализации доходов, полученных преступным путем. Используются различные платформы исполнения моделей – онлайн (в момент проведения операции) и пакетный расчет по всей клиентской базе. Применяем ансамбли моделей градиентного бустинга, нейросетевые архитектуры на последовательностях событий, временных рядах, графовых структурах данных.
Обязанности
* Декомпозировать задачи и управлять сроками их выполнения;
* Собирать выборки для обучения и валидации моделей;
* Проверять различные модели для решения задачи (классификация, регрессия, выявление аномалий), выбирать лучшую модель;
* Формировать требования к витринам для команды инженеров;
* Проводить ревью кода;
* Подготавливать презентации для защиты результатов;
* Анализировать результаты мониторинга работы моделей на проме;
* Участвовать в собеседованиях кандидатов.
Требования
* Профильное высшее образование;
* Хорошее знание теории вероятностей и статистики;
* Знание Python и основных библиотек (numpy, pandas, scipy, sklearn);
* Уверенное владение популярными алгоритмами машинного обучения и библиотеками градиентного бустинга (LightGBM, CatBoost и др.);
* Опыт разработки и внедрения нейронных сетей на PyTorch.
* Умение обрабатывать большие объемы данных на PySpark;
* Кейсы применения нейросетевых моделей в задачах NLP, Time Series, Graph;
* Опыт наставничества или руководства командой.
Условия
* Бесплатные фитнес залы в офисе;
* ДМС с первого дня и льготное страхование для близких;
* Выгодная ипотека для каждого сотрудника и льготные условия кредитования;
* Скидки на продукты компаний-партнеров;
* Онлайн курсы в Виртуальной школе Сбера и обучение в Корпоративном университете;
* DS&AI community - регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний.
Location: Prague
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.
As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English
Standout Qualities:
Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture
Interpersonal skills:
Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level
Our Work Style:
Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
5 Weeks of paid vacation
Sick Leave Compensation
5 Paid Uncertified Sick Days
2 weeks fully paid w/ medical certificate, additional
4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Hybrid Working Model
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We’re looking for Applied Research Scientists to help us develop cutting-edge computer vision and generative models to power our creative tools. We are looking for candidates with a strong background building impactful and novel machine learning projects, strong software engineering skills, and who are deeply interested in seeing their research materialize in novel user interfaces for creative tasks.
This is a cross-functional team that requires strong communication and collaboration skills; you will have a chance to work with our backend team to help bring your research models to production, and with our design and frontend engineering team to make sure that your machine learning models work in harmony with the user interfaces that interact with them.
WHAT YOU’LL NEED
- 4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
- Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills and ability to write clean and maintainable research code
- Deep interest in building human-in-the-loop systems for creativity
- Passion for seeing research through from initial conception to eventual application
- Experience mentoring and teaching other researchers
- Strong communication, collaboration, and documentation skills
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We're looking for an API engineer to join our core API team and help scale Runway's platform serving millions of users and handling thousands of requests per second. You'll work on the critical infrastructure that powers both our public API (used by external developers) and internal tools, managing user data, task orchestration, billing, permissions, and asset management.
This is a high-impact role on a mature, production system. You'll build enterprise features, optimize database performance, design async workflows, and ensure reliability at scale. If you're passionate about API development, love TypeScript, and want to own systems end-to-end, this is the role for you.
A PEEK AT OUR TECHNICAL STACK
Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure.
Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure.
WHAT YOU’LL DO
- Own the full API lifecycle from design and implementation to monitoring, optimization, and documentation for both public and internal APIs
- Design and implement async workflows for task orchestration, content moderation, prompt enhancement, and post-processing pipelines
- Optimize database queries and improve performance for a high-traffic Postgres database
- Build rate limiting, fraud detection, and credit management systems
- Implement comprehensive API security, rate limiting, authentication, and monitoring systems to ensure reliability at scale
- Improve the public API developer experience with better documentation, SDKs, and tooling
- Improve the performance, reliability, and code quality of our codebases
WHAT YOU’LL NEED
- 3+ years of industry experience building production APIs
- Strong TypeScript experience, so you can jump in and be productive immediately
- Experience owning systems end-to-end: infrastructure, monitoring, logging, metrics, incident response
- Understanding of API design patterns, REST principles, and async workflows
- Experience with relational databases (Postgres preferred) and query optimization
- Experience architecting production-ready systems at scale using cloud primitives from AWS, GCP, or Azure
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines
- Humility and open mindedness; at Runway we love to learn from one another
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Limassol
Wisebits — is an international IT holding with a strong technical team!
Our key product is a high-load video hosting platform used by millions of people worldwide every day. With over 15 years on the market, we’ve built a professional team that values engagement and initiative.
If you’re excited about working with a high-load product and want to have an impact on its development, join us!
What you'll be working on:
Participating in the development and improvement of recommendation systems, including user-item, item-item, and cross-platform recommendations.
Optimizing recommendations on category, channel, and tag pages.
Building text-to-video search: embedding models, ranking, and semantic search.
Turning ML prototypes into production services: inference optimization, profiling, feature preparation, and model quality control.
Developing high-load ML services in Python, including gRPC/Triton-based services.
Our stack:
Languages and libraries:
Python, PyTorch, CatBoost, NumPy, Pandas, Polars, CuDF, CuPy.
Infrastructure and deployment:
Kubernetes, Docker, Airflow, Triton Inference Server.
Data storage:
ClickHouse, MySQL.
What we expect from you:
2+ years of experience with recommendation systems, search, or related ML tasks.
Strong knowledge of Python and ML frameworks, such as PyTorch, CatBoost, etc.
Experience deploying models to production.
Understanding of offline and online model evaluation principles.
What we offer:
Work on an ML product used by millions of users, with real product metrics.
A compact team where every engineer has an impact on the product and can develop expertise across several areas.
Experienced colleagues to discuss ideas with, think through solutions together, and launch new projects and features.
A simple structure — minimum bureaucracy, maximum ownership.
Benefits package: medical insurance, tax compensation, professional training, work equipment, and language courses.
Relocation to Cyprus: visa support, relocation coverage, tickets, and the first month of accommodation.
Flexible schedule, a comfortable atmosphere, and team support.
Work format:
Remote / On-site
Salary:
From €4,000 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.
Limassol; Relocation to Cyprus: visa support, relocation coverage, tickets, and the first month of accommodation
Location: Limassol
Wisebits is an international IT holding company with a strong technical team.
Our key product is a high-load video hosting platform used daily by millions of people around the world. Over more than 15 years in the market, we have built a professional team where engagement and initiative are truly valued. If you want to work with a high-load product and have the opportunity to influence its development, join us!
We are looking for an
AI Automation Engineer
who will develop and implement applied AI solutions to automate the company’s internal processes. The main goal of this role is to identify routine, time-consuming, or poorly scalable processes across different teams and turn them into reliable AI tools and services.
What you'll be working on:
Develop AI tools for automating code review and analyzing code changes.
Build systems for automatically analyzing product and technical metrics, logs, and events, including anomaly detection.
Integrate Slack, task trackers, knowledge bases, and the company’s internal services.
Develop AI agents, for example, for creating tasks from Slack threads, searching for similar bugs, and preparing concise summaries.
Automate incident analysis, identify possible root causes of failures, and prepare draft post-mortems.
Create tools for automated checks of websites, domains, and SEO metrics.
Design and develop custom MCP servers, RAG systems, and pipelines for working with corporate data.
Evaluate the quality of AI solutions, reduce error rates, and control the cost and speed of their operation.
Work with both cloud-based models and local LLMs.
What we expect from you:
Practical experience in developing solutions using AI/ML.
Experience working with APIs of cloud AI platforms, such as OpenAI and Anthropic.
Experience launching, additional training, and fine-tuning local models.
Good understanding of how LLMs, Transformer models, embeddings, and vector search work.
Experience developing custom solutions based on MCP and RAG.
Experience integrating AI services with external APIs, databases, and corporate systems.
Strong development skills in Python, TypeScript, Go, or other backend or systems programming languages will be an advantage.
Understanding of different neural network architectures, including Transformers, NLP models, RNNs, and others.
Experience with Docker, Linux, Git, and basic CI/CD processes.
Ability to turn an informal business need into a working technical prototype and then into a stable production service.
Nice to have:
Experience with LangGraph, LlamaIndex, Haystack, Semantic Kernel, or similar frameworks.
Knowledge of PyTorch, Hugging Face Transformers, PEFT, LoRA, or QLoRA.
Experience with local inference using vLLM, Ollama, llama.cpp, TGI, or similar solutions.
Experience with vector databases and search systems: PostgreSQL/pgvector, Qdrant, Milvus, Weaviate, Elasticsearch, or OpenSearch.
Skills in building LLM quality evaluation systems: evaluation datasets, automated tests, human feedback, hallucination monitoring, and regression testing.
Understanding of information security, access control, and confidential data protection when working with AI.
Experience processing logs, metrics, and time series data, as well as detecting anomalies.
Experience developing AI agents and systems using tool calling.
Understanding of observability.
Experience with Kubernetes and cloud platforms.
We are not looking for an academic researcher, but rather a strong hands-on engineer who can quickly understand new AI technologies, build prototypes, validate their value, and bring successful solutions to production.
What we offer:
Work on an ML product with millions of users and real-life metrics.
A compact team where every engineer can influence the product and develop expertise across several areas.
Experienced colleagues to discuss ideas with, think together, and launch new projects and features.
A simple structure with minimal bureaucracy and maximum responsibility.
Annual salary review and bonuses.
Benefits: medical insurance, tax compensation, learning opportunities, equipment, and language courses.
Relocation to Cyprus: visa support, relocation coverage, flight tickets, and the first month of accommodation.
Flexible schedule, a comfortable atmosphere, and team support.
Work format:
Remote / On-site
Salary:
from €3,500 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.
seniorMadrid, Spain; Remote - Europe; United Kingdom
УдалённоСтажёрNew York, New York / Remote
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоParis; San Francisco; London; New York; Toronto; Montreal; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
ГибридLondon; New York; Paris; Toronto; Montreal; This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
УдалённоseniorSan Francisco; New York; Paris; Toronto; Montreal; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
УдалённоseniorHo Chi Minh, Vietnam; Hà Nội, Vietnam
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S
seniorAmsterdam, Netherlands; Berlin, Germany; London, United Kingdom
seniorPrague; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
Yerevan; Relocation package in certain cases
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S
Limassol; Relocation to Cyprus: visa support, relocation coverage, flight tickets, and the first month of accommodation
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