Software Engineer - Data Pipeline
$200k - $275k • Sunnyvale • FullTime
Posted 1mo ago
Job Location
Sunnyvale
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Applied Intuition is seeking a Software Engineer to join their team and contribute to powering the future of physical AI. This role involves constructing optimized data pipelines for ML models and evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles. You will also integrate foundation models like LLMs and VLMs to automate and enhance labeling, quality assurance, and data discovery, while leveraging software-in-the-loop and hardware-in-the-loop testing. Additionally, you will interact with customers to understand their use cases and triage needs during field events.
Responsibilities
- Construct optimized data pipelines to run ML models.
- Evolve data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles.
- Integrate foundation models (LLMs, VLMs, multimodal models) to automate and enhance labeling, quality assurance, and data discovery.
- Leverage software-in-the-loop and hardware-in-the-loop testing.
- Interact with the DoD customer to understand use cases, requirements, and triage needs during field events.
Requirements
- 5+ years of relevant work experience.
- Bachelor Degree in Computer Science or relevant field.
- Familiarity with modern ML infrastructure, data-centric AI approaches, and running large-scale jobs on GPUs.
- Experience creating or working on microservices and/or databases for data-oriented software.
- U.S. citizenship and eligibility to obtain a security clearance.
Benefits
- Base salary, equity, and benefits.
- Equity in the form of options and/or restricted stock units.
- Comprehensive health, dental, vision, life and disability insurance coverage.
- 401k retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.