Mid-Level Machine Learning Scientist

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Job Summary:

Snowflake is a leading data platform company that empowers organizations to unlock the value of their data through its innovative Data Cloud. They are seeking a Senior Machine Learning Scientist to lead AI and ML projects, engage with stakeholders, provide technical leadership, and mentor junior team members while developing complex ML models and solutions.

Responsibilities:

• Lead projects; Conceptualize, design and lead the execution of large AI & ML projects, aligning with the business goals, delivering measurable value & impact.

• Engage with stakeholders; lead the conversations with technical & non-technical stakeholders; identify areas where one can apply AI & ML; facilitating discussions around key drivers for decision making & operational efficiencies.

• Provide technical & thought leadership; designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions. Participate in all stages of development, ideation to production.

• Provide mentorship; to junior ML & Data Scientists, around problem formulation, technical design, algorithm choices & code quality.

• Develop hands-on; analyze large amounts of data, manage data quality, design & develop complex ML models (and the ensuing ML solutions) including ML pipelines, deploy & manage production-grade applications end-to-end, and tell the story in a compelling manner.

• Partner with customers; showcase internal solutions to customers, help them envision solutions stringing Snowflake platform capabilities together, partner with internal teams that enable customer solutions.

Qualifications:

Required:

• High levels of curiosity, eager enthusiasm & demonstrable experience working on open-ended problems

• Exceptional problem solving skills with the ability to think strategically

• Demonstrable experience and interest in problem formulation based on relatively abstract information

• High levels of adaptability, to respond to fast-evolving project scope, adjusting strategies & plans accordingly; comfortable being scrappy

• Experience applying machine learning or statistical modeling on large datasets; pre-processing, data quality, feature engineering; the whole nine-yards

• Deep understanding of the basic classes of ML algorithms, statistics & linear algebra; with a keen interest in the underlying theory & assumptions

• Experience building AI & LLM based applications in a business environment; up to date with advancements in the Gen-AI space, in an applied sense with techniques such as RAG, AI Assistants and Agentic workflows.

• Solid understanding of NLP techniques and embedding methods, foundational models and model fine-tuning; with experience in developing conversational AI or agentic AI workflows that allow models to take autonomous actions.

• Experience writing production-quality, scalable code using Python. Strong with the software development lifecycle and its best practices

• Experience & a point-of-view for designing and developing end-to-end turn key ML solutions, enablement & adoption baked into the solution. Also experience iterating on ideas and deliverables.

• Ability to articulate results and complex concepts to all audiences. Ability to collaborate and influence leadership

• Demonstrate keen senses of ownership, collaboration and mentorship

• Demonstrate leadership, with the ability to inspire the team & lead a project to completion.

Company:

Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, California, USA, with a team of 5001-10000 employees. The company is currently Public Company. Snowflake has a track record of offering H1B sponsorships.