Machine Learning Engineer – Applied ML
adaption
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Tech Stack
About the role
- Deliver Real-World Impact: Lead the development and deployment of efficient, adaptive ML systems in real production environments.
- Customer Collaboration: Act as a trusted technical advisor to strategic partners—turning complex needs into actionable solutions.
- Hands-on Impact: The ideal candidate will own implementation of data products at Adaption. This position requires creativity and technical execution in addressing novel challenges related to data, interaction, and evaluation.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, or a related field
- Good communicator, excited about aligning technical execution with business goals.
- 3-4 years of experience in machine learning, applied research, or systems-level engineering for AI.
- Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow).
- Excellent communication skills and ability to align technical work with high-level goals.
- A mindset of ownership, curiosity, and a bias toward action.
- Bonus: experience with online learning, reinforcement learning, or efficient ML architectures.
- Bonus: Track record of deploying ML systems that solved real business problems.
Benefits
- Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and quarterly offsites.
- Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
- Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
- Well-Being: Comprehensive medical benefits and generous paid time off.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningapplied researchsystems-level engineeringsoftware engineeringPyTorchJAXTensorFlowonline learningreinforcement learningefficient ML architectures
Soft Skills
communicationtechnical executionalignment with business goalsownershipcuriositybias toward action
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Machine LearningBachelor’s degree in a related field