Bolt is looking to build intelligent systems that can discover, recommend, and execute transactions on behalf of users, making commerce seamless, personalized, and fast.
Requirements
- 7+ years of hands-on experience in machine learning or AI engineering.
- Strong Python programming skills, with experience in PyTorch, TensorFlow, or equivalent frameworks.
- Proven track record designing, training, and deploying ML systems in production, preferably for recommendation, fraud, or autonomous decision workflows.
- Knowledge of data engineering, model serving, and performance optimization.
- Experience mentoring engineers and leading technical projects.
- deep experience in ML engineering, with applied knowledge of deep learning, recommendation systems, reinforcement learning, or agentic AI.
Responsibilities
- Build and deploy state-of-the-art ML models for personalized recommendations, fraud detection, transaction automation, and user behavior prediction.
- Architect and scale ML systems powering agentic commerce workflows, including autonomous decision-making and checkout automation.
- Lead technical initiatives, guiding other engineers and influencing the roadmap for core AI infrastructure.
- Collaborate with product, design, and research teams to turn cutting-edge ML ideas into real-world features.
- Experiment with novel algorithms and architectures, staying ahead in fast-evolving payments and AI domains.
- Own projects end-to-end, from conception through deployment and ongoing optimization.
Other
- This is a contract-to-hire opportunity with the option to convert to full-time after 3–6 months.
- You excel in high-impact, high-responsibility environments and take ownership of complex systems.
- You thrive in ambiguous, pioneering spaces, able to chart paths where none have gone before.
- You embrace an “all in” mindset—solving hard problems, experimenting fearlessly, and seeing projects through to production.
- You find satisfaction in building transformative technology, not just maintaining existing systems.
