Job Description:
A developer on the AI Tools & Platforms team will design, build, and maintain Python-based internal tools, reusable frameworks, and scalable infrastructure that support our data scientists and engineers in accelerating R&D workflows and integrating AI/ML solutions into production. This includes developing workflow-oriented APIs, data access utilities, and components that streamline experimentation, model iteration, and data engineering processes. The developer will contribute to infrastructure supporting exploratory analysis environments, training pipelines, and inference services. Close collaboration with AI/ML engineers and data scientists, product teams, data engineers, DevOps engineers, and business SMEs will be key to ensuring seamless integration and operational excellence.
Key Responsibilities:
Develop Python-based internal tools and frameworks that simplify experimentation, data access, and model iteration for data scientists
Design and implement infrastructure solutions to increase productivity of data scientists from R&D to production (exploratory data analysis environment, training pipelines, inference services, etc)
Collaborate with AI/ML engineers and data scientists for data engineering support.
Partner with DevOps and data pipeline teams for smooth production integration.
Document and share best practices, reusable components, and patterns for AI/ML development.
Collaboration with international development teams
Required Skills:
Proficiency in Python, including experience with libraries for data processing and automation.
Familiarity with AI/ML workflows, including data processing, model training, and model deployment.
Experience building APIs, SDKs, or internal tools for data and model access using Python.
Knowledge of CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
Understanding of cloud platforms (AWS) and scalable infrastructure.
Excellent communication skills with the ability to clearly articulate technical concepts and collaborate effectively.
Preferred Skills:
Exposure to ML frameworks (PyTorch, Tensorflow) and analytics tools.
Experience with relevant AWS services (Fargate, Lambda, Glue, Athena, SageMaker)
Experience with highly scalable infrastructure and distributed compute (Kubernetes, Ray, Dask, etc)
Ability to work creatively on loosely defined specifications.
Education & Experience:
Bachelor’s degree in computer science, software engineering, or related field.
3+ years of software development experience, preferably in MLOps, AI/ML or data engineering environments.
5+ years of experience is preferred
Ideal candidates will be located in San Diego and capable of coming into our Kearny Mesa offices 3-5 days per week.
Show more
Show less
Seniority level
Entry level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Software Development