Machine Learning Engineer

📋 Job Overview

Hyperbound is the Revenue Activation Platform, the agentic operating system for sales. We don't just record what happens on a call, we change what happens next, turning real selling behavior into targeted roleplays, coaching, and workflow changes that make reps better without adding a single layer of management overhead. Founded in 2023 out of YC (S23), we're 45 people now, Series A, $18M raised total. Last quarter we doubled headcount, revenue nearly doubled with it, and net revenue retention landed above 300%. Teams at LinkedIn, Workday, and Intel run their sales orgs on us.

🏢 About Hyperbound

Hyperbound is the Revenue Activation Platform, the agentic operating system for sales. We don't just record what happens on a call, we change what happens next, turning real selling behavior into targeted roleplays, coaching, and workflow changes that make reps better without adding a single layer of management overhead. Founded in 2023 out of YC (S23), we're 45 people now, Series A, $18M raised total. Last quarter we doubled headcount, revenue nearly doubled with it, and net revenue retention landed above 300%. Teams at LinkedIn, Workday, and Intel run their sales orgs on us.

🎯 The Role

You'll build and ship the models underneath Hyperbound's roleplay, scoring, and coaching products: real systems sitting on real sales calls. That means owning the full lifecycle, from training and fine-tuning through getting a model into production and keeping it working once it's there. You will fine-tune and deploy open source models where they give us more control over cost, latency, or what the model can actually do. Some of it means getting models running on-device, wherever a customer's latency or privacy requirements demand it, with all the tradeoffs around quantization and distillation that come with it. And a good amount of it means building the evaluation frameworks, benchmarks, and regression suites that tell us whether a change actually made things better, before a customer finds out for us. You'll work closely with the founders and the rest of engineering, and you'll have real input into what we build next, not just how we build it.

✅ Key Responsibilities

• Build and ship models for Hyperbound's roleplay, scoring, and coaching products.
• Own the full lifecycle of models, from training and fine-tuning through production deployment.
• Deploy open source models for better control over cost, latency, or functionality.
• Get models running on-device to meet customer latency or privacy requirements.
• Build evaluation frameworks, benchmarks, and regression suites to validate model improvements.
• Work closely with founders and engineering team to influence future product development.

🎁 Benefits

Compensation: $260k-$300k+ based on experience, meaningful equity
Benefits: medical, dental, vision, 401k
Commuter and parking benefits
Unlimited PTO
Free lunch and dinner in the office

🛂 Visa & Eligibility

Hyperbound is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, and we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.