Production-Ready LLM Post-Training Engineer

Bespoke-Labs; Mountain View (CA); On-site; USD 300,000 - 350,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Onsite daily lunch

Health, dental, and vision coverage

Equity

Performance-based bonus

Remote considered

Job summary

Bespoke Labs is seeking a delivery-focused machine learning practitioner in Mountain View, CA, to stand up our enterprise post-training capability. You will post-train, fine-tune, and align models for real-world business domains, ensuring reliable production performance and clear value delivery to enterprise customers.

You will own the evals, build bespoke benchmarks, curate data flywheels, and work directly with stakeholders to translate requirements into measurable metrics.

Qualifications

• Experience shipping models to production and measuring success.
• Proven ownership of end-to-end evals and benchmarks.
• Deep understanding of regression risks when updating models.
• Customer-facing collaboration with enterprise stakeholders.
• Strong software and ML fundamentals for production deployments.
• Owns full post-training lifecycle from data to deployment.

Responsibilities

• Ship enterprise-grade models post-training and fine-tune for production.
• Build bespoke evaluation suites and calibrate judges against experts.
• Curate and filter high-impact datasets with strict quality controls.
• Manage and mitigate regression risk across deployments.
• Engage with product and enterprise customers to translate requirements into metrics.
• Deploy with cost and privacy considerations for enterprise use.
• Direct frontier tools and workflows to maximize output quality and speed.

Skills

Shipped models experience

End-to-end eval ownership

Regression risk understanding

Customer-facing / product empathy

Software & ML fundamentals

Ownership mindset

Job description

Bespoke Labs is seeking a delivery-focused machine learning practitioner in Mountain View, CA, to stand up our enterprise post-training capability. You will post-train, fine-tune, and align models for real-world business domains, ensuring reliable production performance and clear value delivery to enterprise customers.

You will own the evals, build bespoke benchmarks, curate data flywheels, and work directly with stakeholders to translate requirements into measurable metrics.