Machine Learning Engineer, Core Evaluations
- Pay
- $170,000 – $190,000 per year
- Location
- Remote (US) · On-site
- Job type
- Full-time
- Level
- Senior
- Listed
- 30 days ago
Skills & highlights for this role
- ML model evaluation
- statistical analysis
- speech models (ASR/TTS)
- model fine-tuning
Also useful
- Mechanical Turk user studies
- large-scale ML training
Stated benefits & perks
- Health
- Dental
- Vision
- Pto
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
The anticipated annual base salary range for this role is between $200,000-$220,000 (€170,000-€190,000). 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!
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!
From Cantina's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Machine Learning Engineer, Core Evaluations role at Cantina?
The Machine Learning Engineer, Core Evaluations posting at Cantina states compensation of $170,000 – $190,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Cantina's official career site.
Where is the Machine Learning Engineer, Core Evaluations job at Cantina located?
Yes, this Machine Learning Engineer, Core Evaluations opening at Cantina is listed as Remote (US) (On-site). Always check Cantina's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer, Core Evaluations at Cantina?
For the Machine Learning Engineer, Core Evaluations role, Cantina highlights experience with ML model evaluation, statistical analysis, speech models (ASR/TTS), model fine-tuning. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer, Core Evaluations position at Cantina?
This listing links directly to Cantina's Ashby application page. You can apply directly on Cantina's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.