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Machine Learning Engineer, Ops

Remote, Europe +1·Full-time·Added 3 months ago (last checked 27 Oct)

Cantina

5 open roles

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Our summary

Salary: US$500 a month
Work mode: Remote (Europe / United States)
Contract: Full-time

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.

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Skills

Requirements

What we're looking for

Hands-on experience deploying, scaling and optimizing ML models in production, beyond consuming model APIs.
Working knowledge of the full inference stack, from CUDA kernels to serving frameworks, with depth in some layers; expertise across all of them is not expected.
GPU performance optimization: profiling (Nsight Systems, PyTorch Profiler), memory bandwidth, CPU-GPU synchronization.
Solid understanding of model serving: continuous batching, KV cache management, request scheduling.
Production experience with Kubernetes, CI/CD and cloud infrastructure.
Strong Python and PyTorch, and a rigorous approach to performance benchmarking.
Experience with speech or audio models (TTS, ASR, voice conversion).
Experience with inference frameworks such as vLLM (vLLM-Omni), SGLang, TensorRT-LLM, TensorRT or Triton Inference Server.

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 looking for an ML Engineer to own the production inference stack for our text-to-speech (TTS) and speech recognition (ASR) models, end to end. Our research team delivers trained model checkpoints; you will productionize them as low-latency, real-time streaming services that run cost-efficiently on GPUs. The role covers the inference engines, the Kubernetes infrastructure they run on, and the performance benchmarking and accuracy validation that let us ship changes safely. You will bridge research and production, and own latency, throughput, cost and accuracy as we scale.

What you'll do

Build and optimize streaming inference engines for TTS and ASR models, including multi-stage model pipelines.
Optimize latency (time to first chunk, p50/p99) and throughput using continuous batching, CUDA Graphs, torch.compile and mixed precision.
Maintain numerical parity with the reference implementation through automated accuracy regression tests, per stage and end to end.
Deploy and operate GPU inference services on Kubernetes: autoscaling, containerization and infrastructure as code.
Build CI/CD for model artifacts, with model versioning and reproducible releases.
Own observability and performance benchmarking: p50/p99 latency, real-time factor (RTF), GPU utilization and cost per request.
Partner with research to productionize new models.

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.

All open roles at Cantina