SWE Engineering Manager - Applied ML (San Francisco)
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Who are we?
Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.Who are we?
Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. 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. We like to work hard and move fast to do whats best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Our Applied ML Team works directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. In this role, youll apply your problem-solving ability, creativity, leadership and technical skills to close the last-mile gap in Enterprise AI adoption. Youll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! As a People Leader for the SWE team within Applied ML team, you will:- Own and build large new areas within our product and scale to millions of dollars of revenue impact.
- Lead a cross-functional team of Software Engineers.
- Work across backend, frontend, and customize Large Language Models.
- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
- Work across the entire product lifecycle from conceptualization through production
- Strong SWE Leadership experience and a passion for growing and developing team members.
- 5+ years of experience building AI-backed products with millions of dollars of revenue impact.
- Experience with B2B Enterprise SaaS applications.
- Experience scaling products and teams at hyper-growth startups.
- Strong written and verbal communication skills.
- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
- Experience building LLM applications using tools such as Langchain.
- Experience with Information Retrieval Systems for document question answering.
- Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Software Development
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