Senior ML Engineer

Posted: 2026-09-30

SENIOR MACHINE LEARNING ENGINEER

ABOUT BEDROCK TALENT

At Bedrock Talent, we’re intentional about the companies we represent.

We don’t partner with every startup that comes our way. We work with founders we’d be excited to work for ourselves, companies solving meaningful problems, and teams we genuinely believe have the potential to build category-defining businesses.

This is one of those companies.

- Design, train, evaluate, and deploy machine learning models for production applications.

- Conduct experiments to improve model quality, accuracy, robustness, efficiency, and scalability.

- Collaborate with research, engineering, product, and leadership teams to define and execute machine learning initiatives.

- Partner with platform and infrastructure engineers to operationalize, monitor, and maintain ML systems in production.

- Analyze model performance and identify opportunities for continued improvement.

- Communicate technical findings, tradeoffs, and recommendations to technical and non-technical stakeholders.

- Contribute to the company’s broader technical strategy and the future direction of its ML systems.

- Review code, share knowledge, and mentor teammates.

- Stay current on advances in machine learning and identify practical opportunities to apply new techniques.

- Experience conducting machine learning research and shipping models into production.

- Strong experience building and deploying production-grade machine learning systems.

- Advanced proficiency with Python and PyTorch.

- Experience designing experiments and evaluating model performance.

- The ability to work across research and engineering disciplines to deliver measurable business impact.

- Strong communication skills and the ability to explain complex technical concepts clearly.

- Experience collaborating effectively across engineering, product, research, and leadership teams.

- Experience sharing research through papers, conferences, open-source projects, or other public contributions.

- Experience working with audio, speech, or related machine learning systems, including ASR, TTS, or speaker modeling.

- Experience with cloud infrastructure, particularly AWS.

- Experience building or maintaining large-scale ML infrastructure or MLOps systems.

- Experience working in a fast-paced startup environment.

The company believes in transparent and equitable compensation. In addition to a competitive salary and meaningful equity, employees receive:

- Comprehensive medical, dental, and vision coverage

- HSA and FSA options

- Flexible PTO and 15 company holidays

- Hybrid work flexibility

- Up to eight weeks per year of working from anywhere

- Professional-development and career-growth resources

- Leadership and technical learning sessions

- Weekly team lunches with dietary accommodations

- An inclusive, human-centered culture that values both high performance and long-term sustainability

Salary Range: $180,000–$200,000 base, plus equity

WHY THIS ROLE?

This is an opportunity to work on sophisticated machine learning problems with a direct path from research to production.

You will have meaningful ownership over models that power real products, influence the company’s technical direction, and collaborate with a team that values experimentation, intellectual rigor, and practical business impact.

The role is particularly compelling for someone who enjoys moving between research and engineering, wants to see their work used at scale, and is excited to help shape the future of conversational AI.