Jobs in Fremont, CA

About the role

The AI Team is responsible for building the organization’s intelligent technology capabilities by designing, developing, and scaling AI-powered products and platforms across the enterprise. The team combines expertise in machine learning, generative AI, data engineering, and platform infrastructure to deliver innovative solutions that improve business outcomes and accelerate digital transformation. Residing in New York City : This role is not eligible for remote work in New York City.

What you'll bring

• We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset.
• You’ll be comfortable with change and flexible in a fast-paced, high-growth environment.
• You’ll take a collaborative approach to achieve ambitious goals.
• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 8+ years of hands-on experience in AI/ML engineering, machine learning platforms, data engineering, or AI infrastructure, with experience in enterprise-scale environments such as manufacturing, automotive, or similarly complex industries.
• 3+ years of experience leading or mentoring AI engineering, ML engineering, or platform engineering teams.
• Strong experience designing and deploying end-to-end AI solutions, including machine learning, generative AI, and LLM-based applications.
• Proficiency in Python, SQL, and modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or equivalent platforms.
• Experience building scalable AI data pipelines supporting model training, inference, RAG architecture, and intelligent automation workflows.
• Hands-on expertise with cloud AI and data services such as AWS SageMaker, Glue, Kinesis, Firehose, Azure ML, Vertex AI, or comparable platforms.
• Strong knowledge of structured, unstructured, streaming, and time-series data architecture, including experience with vector databases and embedding stores.
• Experience with enterprise data platforms and lakehouse architecture such as Databricks, Delta Lake, or equivalent modern data ecosystems.

Benefits

Locations