adaption · 3 days ago
Machine Learning Engineer (Applied ML)
San Francisco, CA
Full-time
Hybrid
Mid Level
3+ years expAdaption is a company focused on building efficient intelligence that evolves in real-time. They are seeking a Machine Learning Engineer who will drive the design and implementation of adaptable data strategies, collaborating closely with the founding team to contribute to both research direction and product vision.
Computer Software
Responsibilities
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 Adaptable Labs. This position requires creativity and technical execution in addressing novel challenges related to data, interaction, and evaluation
Qualification
Required
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
Preferred
experience with online learning, reinforcement learning, or efficient ML architectures
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.
Company
adaption
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase