Machine Learning Engineer, Core Evaluations

Cantina Labs; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Equity

Medical insurance

PTO 42 days

Parental leave

401(k)

Lunch provided

One Medical

Job summary

Cantina Labs seeks an experienced Machine Learning Engineer to lead audio model evaluation for speech generation and recognition. You will design and implement comprehensive evaluation pipelines for development and production, and create automated dashboards to report results.

As a founding member of the evaluation team, you will shape the direction of our evaluation efforts, collaborate with the model, data, and product teams, and help grow the team as Cantina expands its AI-driven storytelling

Qualifications

• Experience designing metrics that capture model performance.
• Experience designing user studies on Mechanical Turk or similar platforms.
• Experience with training and fine-tuning models for evaluation.
• Strong statistical knowledge to compare results and drive decisions.
• Very strong engineering and programming skills.

Responsibilities

• Design model evaluation pipelines for development and production.
• Design user studies for subjective model evaluations.
• Convert requirements into measurable metrics.
• Develop automated evaluation dashboards to monitor performance.
• Train new models to capture new evaluation metrics.
• Communicate evaluation results to model, data, and product teams.
• Help grow and lead the evaluation team as the founding member.

Skills

Model eval design

User studies (MTurk)

Model training & fine-tuning

Statistics

Engineering skills

ASR/TTS experience

Large-scale ML experience

Tools

ASR

TTS

Job description

About Cantina:

Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.

If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!

About the Role:

We are seeking an experienced Machine Learning Engineer (MLE) to focus on audio model evaluation, specifically for speech generation and recognition models.

This role involves designing and developing comprehensive model evaluation pipelines for both development and production environments, as well as creating automated dashboards for reporting evaluation results.

As the founding member of our evaluation team, the ideal candidate is expected to leverage their experience to lead our evaluation efforts and play a key role in the future growth of the evaluation team.

What You'll Do:

• Designing model evaluation pipelines for models in development and production
• Designing user studies for subjective model evaluations.
• Converting requirements into measurable metrics.
• Designing and developing automated evaluation dashboard to see model performances and compare results.
• Training new models to capture new and different evaluation metrics.
• Communicating with the model team to help design better models based on the evaluation results.
• Communicating with the data team to help decide the type of data necessary to improve model performance.
• Communication with the product-manager to make sure product requirements are correctly measured.
• Help grow the evaluation team as the founding member.
• Lead the evaluation team in the future.

What You'll Bring:

• Strong experience and intuition for designing metrics that capture model performance.
• Strong experience with designing user studies on Mechanical Turk or similar platforms. .
• Strong experience with model training and fine-tuning for model evaluation.
• Strong statistical knowledge and experience to statistically compare evaluation results and take decisions.
• Very strong engineering and programming skills.
• Experience with training ASR, TTS models.
• Experience at ML teams working on large-scale machine learning problems. (>3B models with >1m hours of data)

Compensation:

When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.

Benefits for U.S.-based roles:

• Competitive salary and generous company equity
• Medical, dental, and vision insurance - 99.99% of premiums covered by Cantina
• 42 days of paid time off, including:
  • 15 PTO days
  • 10 sick days
  • 15 company holidays
  • 2 floating holidays
• Generous parental leave & fertility support
• 401(k) retirement savings plan
• Lifestyle spending account - $500/month to use however you'd like
• Complimentary lunch and snacks for in-office employees
• One Medical membership, and more!