ML Engineer
Fort Worth, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Fort Worth, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Austin, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Austin, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
San Antonio, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
San Antonio, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Chicago, IL · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Chicago, IL · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Boston, MA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Boston, MA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Stamford, CT · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Stamford, CT · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
Tech Lead, Data & Inference Engineer
United, PA · On-site
$102K - $123K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
Tech Lead, Data & Inference Engineer
United, PA · On-site
$102K - $123K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
ML Engineer
Seattle, WA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Seattle, WA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Tampa, FL · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Tampa, FL · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
Tech Lead, Data & Inference Engineer
Chicago, IL · On-site
$118K - $141K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... entire pipeline stack. Document lineage, trade offs and reversibility while making practical ...
Tech Lead, Data & Inference Engineer
Chicago, IL · On-site
$118K - $141K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... entire pipeline stack. Document lineage, trade offs and reversibility while making practical ...
ML Engineer
Mountain View, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Mountain View, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Austin, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Austin, TX · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Sunnyvale, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Sunnyvale, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
San Jose, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
San Jose, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Miami, FL · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Miami, FL · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
United, PA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
United, PA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
Tech Lead, Data & Inference Engineer
Manhattan Beach, CA · On-site
$121K - $146K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
Tech Lead, Data & Inference Engineer
Manhattan Beach, CA · On-site
$121K - $146K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
Tech Lead, Data & Inference Engineer
Dallas, TX · On-site
$113K - $136K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
Tech Lead, Data & Inference Engineer
Dallas, TX · On-site
$113K - $136K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
Tech Lead, Data & Inference Engineer
Manhattan, NY · On-site
$126K - $151K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
Tech Lead, Data & Inference Engineer
Manhattan, NY · On-site
$126K - $151K/yr
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack. • Document lineage, trade offs and reversibility while making practical decisions on ...
ML Engineer
Palo Alto, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
ML Engineer
Palo Alto, CA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... stack, improve tooling, and drive innovation in LLM and audio ML applications. • Work directly ...
Catalyst Stack Engineer information
See salary details
$44.5K - $57.8K
1% of jobs
$57.8K - $71K
3% of jobs
$71K - $84.3K
4% of jobs
$84.3K - $97.6K
5% of jobs
$97.6K - $110.9K
11% of jobs
$111.6K is the 25th percentile. Wages below this are outliers.
$110.9K - $124.1K
15% of jobs
The median wage is $132.8K / yr.
$124.1K - $137.4K
17% of jobs
$137.4K - $150.7K
17% of jobs
$153.2K is the 75th percentile. Wages above this are outliers.
$150.7K - $164K
13% of jobs
$164K - $177.2K
9% of jobs
$177.2K - $190.5K
5% of jobs
$44.5K
$134.8K
$190.5K
How much do catalyst stack engineer jobs pay per year?
As of Sep 11, 2026, the average yearly pay for catalyst stack engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.
What are popular job titles related to Catalyst Stack Engineer jobs?
For Catalyst Stack Engineer jobs, the most frequently searched job titles are:
ML Engineer
Fort Worth, TX • On-site
Catalyst Labs
Full-time
Re-posted 27 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, 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.
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, 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.