Machine Learning Engineer, Experimental AI Team (Staff/Senior)

The Experimental AI team is committed to applying innovative AI technology (such as large language models and diffusion models in generative AI) to Instacart's business applications. We are establishing a machine learning foundation that is future-proof.

We are conducting research on the most recent AI technology, creating sophisticated ML tools, and incubating innovative business applications.  We are looking for machine learning engineers to advance this initiative, establish the experimental AI foundation, create innovative business applications, and serve millions of households on the Instacart Platform.

As a senior/staff machine learning engineer on the General ML team

• You use your strong engineering and machine learning skills to build creative business application ideas of the latest AI technology, such as generative AI.
• You collaborate multi-functionally with other partners/teams to define objectives, suggest product ideas, and drive project execution. 
• You are responsible for the success of your projects and hold yourself accountable for each milestone's outcomes.
• You are a leader with vision in the relevant domains of expertise, a mentor to junior engineers, and a contributor to the team's growth and evolution.

MINIMUM QUALIFICATIONS

• A graduate degree in artificial intelligence or machine learning or equivalent experience.
• Extensive experience in natural language processing, text mining, and/or generative AI.
• Comfortable learning and employing the most state-of-the-art machine learning algorithms in the field.
• Strong programming skills and experience with Python, data manipulation (SQL, Spark, Pandas), and popular machine learning tools (PyTorch, Tensorflow, Scikit-learn, XGBoost, JAX), or comparable experience.

• Familiarity with works related to the large language model, autoregressive model, and/or reinforcement learning.
• Strong communication skills and previous experience leading projects with multi-functional partners.
• Experience in handling projects of significant complexity and ambiguity.
• Strong engineering background and can develop end-to-end machine learning solutions.
• Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.