Build the future of data. Join the Snowflake team.We are taking a data-first approach to Machine Learning. We are building predictive analytics that are extremely easy to use by our existing data customers. We are also using ML to improve Snowflake itself using rich metadata. Last, but not least, we aim to leverage Snowflake's data marketplace to ensure ML models won't be starved for training data.We are hiring for an engineering owner for a major machine learning product area. Ideal candidates are strong software engineers who can understand the entire machine learning process and specialize in ML systems.Note: We are not looking for pure data scientists.Location: San MateoRESPONSIBILITIES:This role will help define and own a major machine learning product area. Some examples for product areas include embeddings generation and searching within Snowflake, predictive modeling for classification, building systems to convert unstructured data into structured and so on.Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the team's business objectivesOwn the technical architecture to enable training, evaluation, fine-tuning and launch models that identify optimal actions and predictionsCollaborate and influence / direct technical teams and build alignment on features key scenarios to enable ML at scale at Snowflake.Lead a team of ML engineers, research scientists and PMsPropose, design and implement the hardest parts of the productDebug production issues across services and multiple levels of the stackSupport team members in delivering a high level of technical qualityIDEAL REQUIREMENTS & QUALIFICATIONS:Have 10+ years of software engineering experience (especially in machine learning systems)Have experience with building machine learning models, including neural networks, decision trees, etc.Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, TensorflowStrong software engineering and proficiency ideally in C++ and/or JavaHave built a roadmap and vision, and led technical decision makingHave led multiple engineers in delivering large, high impact projectsHave had experience shipping ML models in a large scale production environmentThrive in ambiguity and driving 0-1 projectsThe following represents the expected range of compensation for this role:The estimated base salary range for this role is $235,000 - $368,000.Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.