
1 - 10 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
adaption is a company building adaptive AI systems and tooling that continually learn and dynamically reshape data to personalize intelligence for specific users, languages, industries, and edge use cases. It offers products like Adaptive Data, Adaptive Intelligence, and Adaptive Interfaces to enable efficient, on-the-fly model adaptation and interfaces that reduce the need for manual prompting, positioning itself as an alternative to large monolithic models.
🕒 April 16
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1 - 10 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
adaption is a company building adaptive AI systems and tooling that continually learn and dynamically reshape data to personalize intelligence for specific users, languages, industries, and edge use cases. It offers products like Adaptive Data, Adaptive Intelligence, and Adaptive Interfaces to enable efficient, on-the-fly model adaptation and interfaces that reduce the need for manual prompting, positioning itself as an alternative to large monolithic models.
• Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss, then build the solutions that capture them. • Ship What's Missing: When the product doesn't cover it, you do. Identify gaps through hands-on customer engagement and implement production-grade ML solutions that fill them. • Raise the Bar: Develop compelling demos, deliver technical presentations to senior stakeholders, and set the standard for what great looks like across our customer base. • Own the Outcome: You're not handing off a deck — you're a strategic and technical partner from discovery through deployment, accountable for results.
• 4+ years of industry experience, including 2+ years in a customer-facing technical role. • Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow) • Solid understanding of data modeling for training and how curation decisions shape model performance • Experience training or fine-tuning models using human feedback, reward signals, or other adaptive learning techniques • Excellent communication skills and ability to operate across varied customer environments and tech stacks • A mindset of ownership, curiosity, and a bias toward action.
• 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.
Apply Now🕒 April 14
11 - 50
🏢 Enterprise
🔐 Security
Staff Software Engineer responsible for ML infrastructure enhancing workplace safety with AI technology. Driving development of scalable systems for data labeling, model life cycle, and training infrastructure.
🏢🏡 San Francisco – Hybrid
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⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Senior Machine Learning Engineer at Pinterest focusing on responsible AI and mitigating bias in large-scale ML applications. Collaborating across teams and shaping technical strategy for responsible AI initiatives.
🕒 April 12
201 - 500
👥 B2C
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☁️ SaaS
Machine Learning Engineer developing and optimizing AI systems at Strava. Work includes building innovative models that enhance fitness experiences for millions of users.
🏢🏡 San Francisco – Hybrid
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💰 Venture Round - Strava on 2025-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
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201 - 500
👥 B2C
⚽ Sports
☁️ SaaS
Machine Learning Engineer developing AI systems for Strava's fitness platform. Working on personalized recommendations and optimizing user experiences for millions worldwide.
🏢🏡 San Francisco – Hybrid
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💰 Venture Round - Strava on 2025-05
⏰ Full Time
🟠 Senior
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🕒 April 9
11 - 50
Manager II responsible for leading machine learning engineering efforts at Pinterest. Guiding a diverse team to drive innovation and collaboration in product recommendations.
🏢🏡 San Francisco – Hybrid
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⏰ Full Time
🟠 Senior
🔴 Lead
🤖 Machine Learning Engineer