Python Jobs

OpenAI

Codex is OpenAI’s first-party developer product focused on agentic software engineering, building tools to help engineers design, write, test, and ship code faster, safely, and at scale. As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software.

OpenAI

OpenAI's Platform team is responsible for powering how millions of developers and enterprises build with our models, providing APIs and agentic solutions. As a Data Scientist on this team, you will drive a data-driven culture for OpenAI's API and B2B solutions. You will define key metrics for developer success and enterprise value, measure the impact of new models and features, and collaborate with product managers and engineers to enhance model quality, reliability, latency, and cost. Your work will directly influence how numerous products adopt agentic AI.

Cohere

Cohere is seeking a Member of Technical Staff for their Applied ML team. In this role, you will collaborate directly with customers to understand their challenges and implement solutions leveraging Large Language Models. You will apply your problem-solving skills, creativity, and technical expertise to bridge the gap in enterprise AI adoption, delivering impactful products and disrupting key industries. This is an opportunity to join at a pivotal moment, shape the company's offerings, and contribute to cutting-edge AI development.

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This role is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This position is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Perplexity is seeking an Applied AI Engineer to join a mission-critical team focused on designing, building, and iterating on cutting-edge agents that power our core experience. You will develop frontier context layer applications, aiming to fulfill the curiosity of millions of users worldwide. This role involves applying state-of-the-art ML and LLM techniques to solve complex problems in personalization, contextual recommendations, and monetization, while also building frontier agent capabilities on top of Perplexity Computer.

Mercor is seeking a strong engineer to build scalable agentic products. You will work on a variety of teams focused on automating operational work, developing evaluation systems for RL environments, and building the infrastructure for producing frontier data. This role involves end-to-end ownership of agentic features, from initial scoping and design through implementation, launch, and iteration. You will collaborate with researchers, operators, and AI companies at the forefront of AI advancement, contributing to the development of systems that are redefining society.

We are seeking engineers to build and maintain the core infrastructure powering our mission to develop visual intelligence. This role involves maintaining and scaling compute clusters, building research platforms to accelerate innovation, and enabling large-scale, efficient resource orchestration for multi-week/month long training runs. If you are passionate about distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement, this team offers a unique opportunity to contribute to groundbreaking AI models.

€100k - €230k

Mistral AI

Mistral is on a mission to democratize AI by producing frontier intelligence for everyone, developed in the open. We are a dynamic, collaborative team passionate about AI's potential to transform society, with diverse teams distributed globally. We develop models for enterprise and consumers, focusing on systems that change business operations and integrate into daily lives, while also releasing frontier models open-source. We are hiring experts in large language model training and distributed systems to shape the future of AI.

Mistral AI

Mistral AI is seeking a Software Engineer to design and build core systems that drive the company's growth, focusing on the Enterprise Agents area. This role involves developing internal tools, integrations, connectors, workflows, and dashboards to enhance information flow across the organization. The engineer will collaborate closely with internal stakeholders to understand business needs, translate complex workflows into scalable software, and deliver pragmatic solutions that optimize team operations. The position is at the intersection of engineering, finance, data, and operations, contributing to a dynamic and collaborative team environment.

Cohere

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! Why this role? Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. 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. As a Member of Technical Staff on the Agent Code team, you will: - Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. - Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms - Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users - Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs. You may be a good fit if you have: - A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). - Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development - Hands-on experience with frontier LLMs and their applications in code generation or automation. - Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. - Experience with distributed systems, cloud infrastructure, and scalable architectures. - A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems. What We Offer: - The opportunity to work on cutting-edge problems at the intersection of AI, code generation, and autonomous agents. - Access to world-class compute resources, data, and a collaborative team of researchers and engineers. - A remote-friendly, flexible work environment with a focus on impact and innovation. - Competitive compensation and benefits, including equity in a fast-growing AI company. If you’re passionate about shaping the future of code LLMs and agent systems, and thrive in a dynamic, research-driven environment, we’d love to hear from you! 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. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming 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, 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.

OpenAI

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems, operating at the intersection of customer delivery and core platform development. Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams, and measuring success through production adoption, workflow impact, and feedback that shapes product and model roadmaps. This role requires fluency in both Japanese and English and is based in Tokyo with a hybrid work model.

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and scaling of cutting-edge AI solutions, particularly Generative AI. This individual will work closely with Sales Executives to tailor Mistral's offerings to client needs, design implementation projects, and guide companies in integrating GenAI into their operations. The role involves ensuring seamless transitions from concept to production, partnering with product and science teams, and tackling complex business problems with AI to deliver measurable outcomes. The position requires a passion for AI, a drive to stay updated on the latest advancements, and the ability to connect technology with business value.

OpenAI

The Forward Deployed Engineer (FDE) role at OpenAI for Government focuses on leading complex deployments of frontier AI models in production environments for government and public sector customers. You will embed with these strategic clients to understand their challenges, structure delivery, and rapidly build full-stack solutions that create measurable value. This involves scoping, sequencing, and driving clarity across internal and external teams, acting as a technical thought partner to defense, intelligence, and federal stakeholders to guide adoption, maximize mission impact, and ensure successful deployments at scale. The role also involves identifying reusable patterns, codifying best practices, and providing field feedback to influence OpenAI's product roadmap.

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This role is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Mercor is a leading AI data company building the layer between human expertise and frontier models. Millions of domain experts are paid to train frontier AI models, and Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this infrastructure to Fortune 500 companies, helping them capture how their best people work and translate that expertise into agents. The company is creating a new category of work where expertise powers AI advancement, requiring an ambitious, fast-paced, and deeply committed team working alongside researchers, operators, and AI companies at the forefront of shaping systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion.

Decagon is seeking a Senior Research Engineer to join their team and build industry-leading conversational AI models. This role involves taking models from idea to production, owning multi-quarter initiatives to enhance agent reliability, capability, and efficiency, and designing/implementing frontier approaches for training, evaluation, and orchestration. The ideal candidate will be a strong engineer passionate about building core AI agent models and algorithms, with a track record of end-to-end ownership and high-impact technical decisions.

$200k - $400k

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of its AI solutions. This role involves working closely with customers from strategic vision to production implementation, bridging the gap between business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success and transformative outcomes. This position is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

We are seeking experienced engineers to build developer tools that users love. The ideal candidate will have a proven track record of creating intuitive and productive interfaces for developers. This role involves a strong focus on developer ergonomics and productivity, requiring a deep understanding of advanced Python features, particularly async programming. You will work closely with users to solve their problems and contribute to a high-impact infrastructure layer for AI. This position also includes participation in an on-call rotation to address production incidents.

Cohere

Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products for real-world business problems. The integration team specifically focuses on developing and scaling machine learning algorithms and infrastructure for LLM post-training, with an emphasis on large-scale, distributed Reinforcement Learning (RL) methods. This role is crucial for enhancing the post-training codebase by implementing new research tools, optimizing algorithms, and scaling distributed RL capabilities. We are looking for passionate individuals who are meticulous in their approach to engineering and science, contributing to both production code and research efforts.