RemoteFull timeMid level$200k – $275kPosted today
Apply with JobAssistAbout the role
- Construct optimized data pipelines to run ML models
- Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
- Integrate foundation models (LLMs, VLMs, and 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 their use cases, requirements, and triage needs during field events to deliver a superior customer experience
Benefits
- Health Insurance: Applied covers 100% of the cost and offers medical, dental, vision, and life insurance
- Fitness Stipend: Our wellness program supports your health and fitness goals. We pay for your trainers, gym memberships, massages, and more!
- 401(k) Match: 50% employer matching to help you save money for retirement
- Learning Stipend: We invest in your learning and growth by reimbursing you for educational and training expenses
- Parental leave: 12-week, fully paid parental leave to bond with a newborn child or new adopted or foster child
- Catered lunch, expensed dinner, on-site meals and snacks- A hunger to learn and grow into a position of ownership and impact on a new product team
- Created or worked on microservices and/or databases for data-oriented software
- Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs
- 5+ years of relevant work experience
- U.S. citizenship (legally required) and eligibility to obtain a security clearance
- Full-stack experience React, TypeScript Python, Golang or similar
- Experience with Docker, Kubernetes, Opensearch and Postgres
- Direct experience with foundation models, including LLMs and VLMs, for data automation tasks
- Background in autonomous driving or robotics perception
- Experience with active learning, auto-labeling, or human-in-the-loop ML systems
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
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