US$500
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92,000+ live jobsMachine Learning Engineer, Core Evaluations
Remote, Europe +1·Full-time·Added 6 months ago (last checked 27 Oct)
Our summary
- Salary
- US$500 a month
- Work mode
- Remote (Europe / United States)
- Contract
- Full-time
- English
- Required




Visa options
The ad doesn’t mention sponsorship
Not a refusal, but not a yes. Worth asking in your first message.
May fit the digital nomad visa
A remote job for a company outside Spain: you apply yourself, no sponsor needed. It asks for about €2,849 a month in remote income.
Skills
Requirements
What we're looking for
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)
Pay & benefits
What you'll get
When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
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!
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.
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 Cantina
Cantina is a San Francisco-based AI startup specializing in advanced speech and video models, including text-to-speech, voice conversion, and joint audio-video modeling. The company operates at the forefront of generative AI, building proprietary models and infrastructure for real-time voice and video applications. As a young, research-driven company, Cantina focuses on pushing the boundaries of what's possible in multimodal AI, with a lean team of engineers and researchers.
Cantina is expanding its engineering presence in Spain, hiring machine learning engineers for roles in TTS, voice conversion, and data & ML infrastructure. The Spanish team will work closely with the San Francisco headquarters, contributing to core model development and evaluation. For international professionals, Cantina offers the opportunity to work on cutting-edge AI research in a fast-paced startup environment, with remote-friendly culture and a focus on technical excellence.
- Founded
- 2024
- Employees
- 11–50
- Headquarters
- San Francisco, USA
Good to know if you are moving
- Cantina is a well-funded AI startup, but it is not a household name; it is known within the AI research community.
- The company is hiring for multiple machine learning roles in Spain, indicating a growing team and investment in the region.
- Roles are focused on speech and video AI, offering the chance to work on specialized, cutting-edge technology.
- The company is headquartered in San Francisco, with a remote-friendly culture that may appeal to international candidates.
- As a startup, Cantina likely offers equity and a dynamic work environment, but with less job security than larger firms.
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