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Stage Ml Jobs (NOW HIRING)

Catalyst Labs

ML Engineer

Cupertino, CA · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... The company is currently Early Stage.

Catalyst Labs

ML Engineer

Houston, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... The company is currently Early Stage.

Catalyst Labs

ML Engineer

Boston, MA · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, while ... The company is currently Early Stage.

Catalyst Labs

ML Engineer

Austin, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... The company is currently Early Stage.

Clera

ML Infrastructure Engineer

San Mateo, CA · On-site

$122K - $160K/yr

About the Role This is a hands-on ML Infrastructure Engineer role at an early-stage enterprise AI startup, where you'll own the end-to-end inference and model-serving infrastructure that keeps ...

Equiforte

Senior ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Experience at a high‑growth startup building ML systems from early stage * Contributions to open‑source ML projects or published research #J-18808-Ljbffr

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

About the Role Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by ...

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As of Sep 11, 2026, the average hourly pay for stage ml in the United States is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $62.02 per hour, depending on experience, location, and employer.

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ML Engineer

Cupertino, CA • On-site

Catalyst Labs
See more jobs at Catalyst Labsexternal

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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