Python Jobs

Cohere

Cohere is seeking a Member of Technical Staff, Applied ML to work directly with enterprise customers on challenging problems that push the limits of Large Language Models (LLMs). In this role, you will gain a deep understanding of customer domains, design custom LLM solutions, and deliver production-ready models to solve high-value business problems. You will not just use APIs, but will train and customize frontier models using Cohere's full stack, including CPT, post-training, retrieval and agent integrations, model evaluations, and state-of-the-art modeling techniques. Your work will directly influence the capabilities of Cohere's foundation models, shaping their next generation. This role offers a unique opportunity to combine the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab, requiring you to wear multiple hats, set a high technical bar, and define the future of Applied ML at Cohere.

Cohere

Cohere is seeking Software Engineers with Applied AI experience to join their Agentic Platform team. This role involves bridging the gap between Cohere's North AI workspace platform and client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors. You will be responsible for the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), transforming prototypes into production-grade AI agents that deliver tangible business value. This position requires close collaboration with customers to address real-world business challenges, often building novel agent workflows that integrate LLMs with various tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability from the outset.

$20k - $40k

Replit

Replit is seeking a highly technical, data-driven Growth Engineer to help scale its product and expand key user metrics across acquisition, activation, retention, and monetization. This role sits at the intersection of engineering, product, and marketing, leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact. The ideal candidate will drive experimentation and optimization by designing, implementing, and analyzing A/B and multivariate tests, and identify bottlenecks in user funnels to improve conversion rates. They will also build and scale growth-oriented product features like onboarding flows and referral systems, ensuring scalable code and infrastructure. Collaboration with data teams for tracking, dashboards, and user behavior analysis, along with leveraging SQL and analytics tools, is crucial. The role involves close partnership with product managers, designers, marketers, and data scientists to align on growth goals and translate business objectives into technical requirements.

Mistral AI

Mistral AI is democratizing AI through high-performance, optimized, open-source models and products. We are a dynamic, collaborative team passionate about AI's potential to transform society, with teams distributed globally. We are seeking an AI Engineer to join a product team, focusing on improving AI-powered features through rigorous evaluation, prompt and orchestration design, and rapid experimentation. You will own your domain's AI quality end-to-end, defining, measuring, and shipping improvements in collaboration with our Science team.

Harvey

Harvey is transforming legal and professional services by combining AI, an enterprise platform, and domain expertise. This is a chance to help build a generational company at an inflection point, with strong product-market fit and investor support, as we scale rapidly and define a new category. The team moves fast, takes ownership, and is committed to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Backend Platform Engineer, you will build and operate the cohesive backend platform supporting all Harvey services. This role focuses on designing and implementing shared frameworks and libraries to abstract common concerns, enhance developer experience, and improve reliability and performance across teams, enabling product engineers to focus on shipping features.

$238k - $290k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their intelligence and shape the future of AI. In this role, you will be instrumental in advancing AI innovation by focusing on data, which is critical for developing capabilities like agentic tool use, long-horizon reasoning, and robust safety alignment. You will collaborate with world-class researchers to design and implement our data strategy, directly influencing the performance of our AI models.

Replit

Replit is seeking a Staff Software Engineer specializing in monetization systems to lead this critical area of the company. This role offers a direct line to business impact while ensuring a positive user experience for billing and payment processes. The ideal candidate will build reliable, scalable billing systems and abstractions, translating complex pricing into intuitive user interfaces. This position is crucial for democratizing software development by removing barriers to application creation.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are seeking a core member for our Applied AI team to lead Forward Deployed Engineering efforts with enterprise customers. This role involves translating advanced AI research into high-impact, real-world applications, owning the technical strategy and delivery of agentic systems from discovery to production launch.

Cohere

Cohere is seeking a Member of Technical Staff in Data Analysis and Evaluation to ensure the quality, reliability, and performance of our large language models (LLMs). This role involves designing and conducting data collection tasks, assessing dataset quality, and analyzing model robustness and generalisability. You will collaborate with researchers, engineers, and data annotators to drive data-driven decisions and enhance AI system effectiveness. The position requires expertise in statistics, experimental design, and machine learning to ensure high-quality data and reliable model performance across diverse scenarios, contributing to Cohere's mission of advancing AI.

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.

Mistral AI

Mistral AI is seeking early-career software engineers, including new graduates or those with up to 1-2 years of experience, to join their software engineering teams. In this role, you will contribute to building and enhancing the core systems that power Mistral's products, such as AI Studio and Applications, as well as supporting operations like SRE, data, and security. You will play a key part in shaping how users and developers interact with the AI platform at scale, working closely with experienced engineers who will mentor and support your growth. This is an opportunity for enthusiastic graduates to learn, collaborate, and deliver impactful products in a fast-paced environment.

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-scaling company with strong product-market fit, seeking ambitious individuals to help build a generational company. Our team operates with intensity, ownership, and a commitment to our mission, valuing decisiveness, simplicity, and continuous improvement. As a Software Engineer on the Site Reliability team, you will ensure the reliability, scalability, and performance of our legal AI platform, owning the systems that keep our platform fast, secure, and always on. Your work will be crucial in maintaining platform resilience as we grow across 50+ regions.

$200k - $260k

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. What You’ll Do - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality - Provide technical mentorship and leadership, promoting best practices and fostering team growth What You Have  - 10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.) - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$238k - $290k

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. In this role, you will lead project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.

Cohere

Cohere is seeking a Senior Machine Learning Engineer specializing in synthetic data to develop and manage the synthetic data pipeline crucial for advanced language models. This role involves end-to-end management of synthetic data, including pipeline optimization, data analysis and generation, and conducting data ablations and model evaluations. You will transform diverse web and code data using generative models to enhance token efficiency and model quality, bridging research and engineering to improve throughput and accelerator utilization. This position is key to Cohere's mission of delivering efficient and reliable language capabilities and driving innovation in natural language processing.

Cohere

Cohere is seeking an exceptional Customer Success Manager with expertise in the Montreal, Canada, private sector landscape to lead strategic commercial accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of organizations in a dynamic, fast-paced environment. You will be the trusted advisor and strategic partner for a wide range of private sector organizations, guiding them through the implementation of frontier AI in secure, regulated environments to ensure solutions deliver measurable impact while meeting stringent security, privacy, compliance, and ethical requirements. You will collaborate with various internal teams, serving as the voice of the customer internally and the face of Cohere externally for high-impact commercial engagements, shaping how Montreal's institutions leverage AI for innovation and growth.

CA$138k - CA$208k

Mistral AI

Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. This role is integral to the Applied AI Engineering team, driving the successful deployment of Mistral AI products by working hand-in-hand with customers from pre-sale to post-implementation. The engineer will integrate cutting-edge AI models into clients' software products and develop complex use cases, ensuring seamless integration with front-end and back-end interfaces. They will also collaborate with product and science teams to improve product and model capabilities based on customer feedback.

Replit

Replit is seeking a Data Scientist, Product to join their team and redefine how software is built. This role will focus on understanding user behavior and translating those insights into actionable strategies to drive product growth, improve user activation and retention, and contribute to revenue growth across self-serve and enterprise segments. The ideal candidate is a fast-paced, deep-diving data scientist who can quickly generate accurate analyses, rigorously test hypotheses, and leverage AI tools to enhance productivity while maintaining high standards for output quality. You will be instrumental in shaping product strategy and ensuring the success of Replit's mission to make programming accessible and AI-powered.

Cohere

Cohere is seeking a Member of Technical Staff focused on Sovereign AI to design, build, and scale agentic AI systems for critical use cases. This role involves researching, implementing, and experimenting with novel ideas on supercompute and data infrastructure, with a strong emphasis on executing across the full AI stack to ship products serving the public interest. The position offers a unique opportunity to work with leading researchers and contribute to both production code and cutting-edge research, leveraging extensive compute resources and talent.

Cohere

Cohere is seeking an Audio Inference Engineer focused on Model Efficiency to join a fast-growing team of researchers and engineers. The mission of this team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will advance core audio model serving metrics, including latency, throughput, and quality by diving deep into systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You will collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.