Join Cantina as a Machine Learning Engineer to lead audio model evaluations and shape the future of social AI.
Posted by employer 4 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
null
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Machine Learning Engineer at Cantina focuses on evaluating audio models, particularly in speech generation and recognition, by designing and implementing evaluation pipelines and automated reporting dashboards. Key skills include experience in model training, statistical analysis, and user study design, particularly for large-scale machine learning applications. This role is ideal for a seasoned professional looking to lead an evaluation team and contribute to the growth of innovative AI solutions. As a founding member, the engineer will play a crucial role in shaping the team's direction and impact.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Cantina's career page.
- Cantina has 21 other open roles including Research Scientist, Video Foundation Models, Research Intern, Machine Learning Intern.
- 799 active Machine Learning roles on Joblaze right now.
- 20 active statistical analysis roles on Joblaze right now.
- 4 active Speech Recognition roles on Joblaze right now.
- Salary band is in line with the typical range for AI/ML roles (median ~$188,000).
- Pays more than 60% of the 355 salaried Machine Learning roles we track (median $185,000). See Machine Learning salary trends
Quick facts
- What's the salary range?
- Cantina lists $200,000–$220,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Audio Model Evaluation, Machine Learning, Speech Generation, Speech Recognition, statistical analysis.
- What seniority level is this role?
- Cantina targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer, Core Evaluations role at Cantina.
From the original posting
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:
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!