ML Engineer: End-to-End Models & On-Device Production

Hyperbound; San Francisco (CA); On-site; USD 260,000 - 300,000; Full time

Benefits offered by this job

medical

dental

vision

401k

Commuter and parking benefits

Unlimited PTO

Free lunch and dinner in the office

Job summary

Hyperbound is building the Revenue Activation Platform, an agentic operating system for sales. You will own models end-to-end—from training and fine-tuning to production deployment—and you’ll build evaluation frameworks to validate improvements before customer use.

You’ll fine-tune and deploy open-source models, optimize for cost, latency, and on-device execution as needed, and collaborate closely with the founders and engineering teams to shape what we build next.

Responsibilities

• Own the full model lifecycle from training to production and ongoing maintenance.
• Fine-tune and deploy open-source models with cost and latency considerations.
• Build evaluation frameworks and regression suites to prove improvements before customers.
• Collaborate with the founders and engineering to shape future work.

Job description

Hyperbound is building the Revenue Activation Platform, an agentic operating system for sales. You will own models end-to-end—from training and fine-tuning to production deployment—and you’ll build evaluation frameworks to validate improvements before customer use.

You’ll fine-tune and deploy open-source models, optimize for cost, latency, and on-device execution as needed, and collaborate closely with the founders and engineering teams to shape what we build next.