As a Staff Machine Learning Systems Engineer at Reddit, you will lead the development of a platform for large-scale ML models. Your responsibilities will include designing end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, zero-to-one development and support of a graph ML codebase and platform, collaborating with ML engineers on performance tuning, optimizing batch data processing, and architecting pipelines to build and maintain massive graph data structures.
\nWe are looking for an experienced engineer with 8+ years of experience in ML infrastructure, including model training and model deployments. You should have hands-on experience with ML optimization, cloud-based technologies, MLOps tools, and proficiency with common programming languages and frameworks of ML. Strong focus on scalability, reliability, performance, and ease of use is essential.
\nIn addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
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\nBureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
\nAlways ask why. The best solutions come from deep understanding, not from copying what worked before.
\nWe say what we mean. Feedback is direct, timely, and given because we care.
\nNo politics. Low ego, high standards.
\nWe embrace an unstructured environment and find joy in it.
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\nYou hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
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\nA track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
\nWhy Join Us?
\nYou’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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\nWork closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
\nHow We Work in Applied AI
\nWe care about people and outputs.
\nWhat matters is what you ship, not the time you spend on it
\nBureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
\nAlways ask why. The best solutions come from deep understanding, not from copying what worked before
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\nYou are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).
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\nA track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
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\nDesign and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
\nDrive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
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\nYou possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
\nYou are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).
\nExperience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
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\nYou excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
\nYou thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
\nIdeal Qualifications:
\nContributed to open-source projects, particularly in the LLM or AI space.
\nExperience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
\nA track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
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\nIf you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
\nBy applying, you agree to our Applicant Privacy Policy.
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\nDrive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
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\nYou possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
\nYou are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).
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\nYou thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
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\nExperience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
\nA track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
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\nAt Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
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\nOur offerings include le Chat, the AI assistant for life and work.
\nAbout The Job
\nMistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers.
\nIn this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
\nYou will act as the primary technical point of contact for our most 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.
\nAs 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.
\nResponsibilities
\nDeliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
\nLead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
\nLead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
\nDesign and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
\nDrive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
\nWork closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
\nHow We Work in Applied AI
\nWe care about people and outputs. What matters is what you ship, not the time you spend on it.
\nBureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
\nAlways ask why. The best solutions come from deep understanding, not from copying what worked before.
\nWe say what we mean. Feedback is direct, timely, and given because we care.
\nNo politics. Low ego, high standards.
\nWe embrace an unstructured environment and find joy in it.
\nRequirements
\nYou are fluent in English.
\nYou hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
\nYou have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
\nYou have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
\nYou possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
\nYou are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
\nYou have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
\nYou excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
\nYou thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
\nIdeally, you have:
\nContributed to open-source projects, particularly in the LLM or AI space.
\nExperience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
\nA track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
\nWhy join us?
\nYou’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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