Machine Learning Engineer delivering real-world impact through efficient, adaptive ML systems in production. Collaborating with strategic partners and directly impacting AI research and product vision.
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 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.
Machine Learning Engineer designing, building, and operationalizing AI/ML solutions for mission - critical applications. Collaborating with data engineering teams to support production - grade ML systems in a hybrid work environment.
Senior Data Platform Engineer optimizing AI/ML infrastructure on AWS at Trajector. Building scalable solutions for data governance, observability, and CI/CD.
Lead Machine Learning Engineer directing innovative AI projects for clients in various sectors. Collaborate to develop AI solutions that enhance efficiency and customer experience.
Associate Director leading machine learning engineering solutions for AI - powered supply chain at S&P Global Mobility. Collaborating with teams to deliver technical solutions and data processing workflows.
Machine Learning Operations Engineer involved in building non - human pilot for aerospace startup. Focus on DevOps and MLOps to enhance infrastructure for innovative machine learning projects.
AI/ML Engineer developing AI solutions leveraging Large Language Models at Deutsche Börse Group. Collaborating with expert developers to enhance internal processes.
Senior Machine Learning Engineer driving innovations in AI and machine learning for Disney's Ad Platforms. Collaborating with cross - functional teams and mentoring junior engineers.
Intern developing machine learning tools within ADEO Services' AI Factory team. Collaborating on software quality and automation alongside a senior ML engineer.
ML Ops Engineer at Early Warning Services supporting predictive models through scalable infrastructure and tools. Collaborating with teams to enhance model productionalization and monitoring efficiency.