Founding Applied ML Engineer

Join to apply for the Founding Applied ML Engineer role at David AI

Join to apply for the Founding Applied ML Engineer role at David AI

This range is provided by David AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Role And Responsibilities
As an Founding Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do. You will:

• Research, design, and implement solutions using advanced signal processing algorithms and bleeding edge ML models with application to speech and audio.
• Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers.
• Collaborating with our Operations team to gather useful training and evaluation datasets to improve the quality of our models.
• Architect the systems that enable resilient, durable inference and evaluations.
  

Who We’re Looking For

• 5+ years of professional ML experience including DSP/ML audio algorithm development.
• Demonstrated experience owning ML pipelines end to end, from POC to production.
• Ability to translate research ideas or papers into high-quality Python code.
• Proficiency in Python and common Deep Learning frameworks like PyTorch.
• Ability to think broadly and cross-functionally about model quality in the context of user experience and the business value.
• Full autonomy to drive the ML roadmap, influence technical direction, and prioritize research and infrastructure investments.
• Experience working with a cloud technologies (eg. AWS or GCP) and developing machine learning models in a cloud environment.
  

Bonus points if you have

• PhD or Masters in Computer Science or a related field.
• Experience training generative AI models.
• Expertise in audio signal processing both classical and machine learning techniques.
• Led ML teams, setting direction and driving development cadence.
  

Compensation And Benefits

• Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
• Competitive salary and equity package.
• Flexible PTO policy.
• Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
• Paid lunch and dinner in the office, every day through DoorDash.
• 401k access.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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