Staff Machine Learning Engineer

About Us:

We’re an AI native startup redefining modern payments and agentic commerce. Our mission is to build intelligent systems that can discover, recommend, and execute transactions on behalf of users—making commerce seamless, personalized, and fast. Our team is lean, fast-moving, and obsessed with solving hard problems. If you thrive where your work directly shapes the future of financial technology, this is your stage.

The Role:

We’re seeking a Staff Machine Learning Engineer to own the design, development, and scaling of ML systems powering next-generation payment flows, recommendation engines, and agentic commerce features. This is a full ownership, all-in role: you’ll define architectures, implement models, and optimize real-world systems that handle complex financial decisions at scale. If you are ready to go “all in,” build intelligent commerce systems that act on behalf of users, and pioneer the next wave of payments, we want you on our team.

Please note, This is a contract-to-hire opportunity with the option to convert to full-time after 3–6 months.

What You’ll Do:

• 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.

Who You Are:

• You excel in high-impact, high-responsibility environments and take ownership of complex systems.
• You have deep experience in ML engineering, with applied knowledge of deep learning, recommendation systems, reinforcement learning, or agentic AI.
• You thrive in ambiguous, pioneering spaces, able to chart paths where few 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.

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.

Estimated compensation for this role:

• Flat monthly fee: $16,666 - $19,167/month (all-in, no benefits)
• Full-time conversion includes RSUs and benefits

Why Join Us:

• Work on bleeding-edge AI technology in payments and commerce, shaping how users interact with money.
• Equity and reward structure designed to recognize ownership, risk-taking, and impact.
• Join a pioneering team solving problems that have never been solved at this scale.
• A culture that values autonomy, creativity, and deep commitment.

Please download and explore the Bolt Super App prior to interview—our consumer experience is at the heart of everything we build!

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