Senior Software Engineer, AI/ML, Home Context and Foundation Models

About this kind of role

What a Senior Software Engineer, AI/ML, Home Context and Foundation Models usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains software solutions, often focusing on artificial intelligence and machine learning applications. This role frequently involves working with large datasets, building and deploying models, and optimizing performance for real-time or near real-time applications. A key focus is often on creating systems that understand and respond to user interactions within a home environment, potentially leveraging foundation models. Responsibilities can also include collaborating with data scientists and other engineers to integrate AI/ML capabilities into existing products.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) are generally required, alongside strong software engineering principles and data structures knowledge.

Good fit for: Individuals with a strong background in software engineering and a passion for artificial intelligence and machine learning, particularly those interested in applying these technologies to consumer-facing products, will likely thrive in this role.