ML Engineer
Charlotte, NC · On-site
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 ...
ML Engineer
Charlotte, NC · On-site
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 ...
ML Engineer
San Jose, CA · On-site
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 ...
ML Engineer
San Jose, CA · On-site
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 ...
ML Engineer
Sunnyvale, CA · On-site
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 ...
ML Engineer
Sunnyvale, CA · On-site
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 ...
ML Engineer
Austin, TX · On-site
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 ...
ML Engineer
Austin, TX · On-site
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 ...
ML Engineer
Miami, FL · On-site
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 ...
ML Engineer
Miami, FL · On-site
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 ...
ML Engineer
Santa Clara, CA · On-site
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 ...
ML Engineer
Santa Clara, CA · On-site
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 ...
ML Engineer
Cupertino, CA · On-site
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 ...
ML Engineer
Cupertino, CA · On-site
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 ...
ML Engineer
Houston, TX · On-site
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 ...
ML Engineer
Houston, TX · On-site
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 ...
ML Engineer
Plano, TX · On-site
Title- ML Engineer Location- Plano, TX Fully Onsite (LOCALS ONLY) Type- Contract- C2C Works Duration- 18+ months. Mode of Interview- F2F This role is ML Engineering with hands-on Software Engineering ...
ML Engineer
Plano, TX · On-site
Title- ML Engineer Location- Plano, TX Fully Onsite (LOCALS ONLY) Type- Contract- C2C Works Duration- 18+ months. Mode of Interview- F2F This role is ML Engineering with hands-on Software Engineering ...
ML Engineer
Austin, TX · On-site
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 ...
ML Engineer
Austin, TX · On-site
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 ...
ML Engineer
Boston, MA · On-site
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 ...
ML Engineer
Boston, MA · On-site
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 ...
ML Engineer
Menlo Park, CA · On-site
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 ...
ML Engineer
Menlo Park, CA · On-site
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 ...
Software Engineer, ML Platform (ML Training)
Foster City, CA · On-site
$177K - $270K/yr
The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. The Opportunity Would you like to be part of the ML Training ...
Software Engineer, ML Platform (ML Training)
Foster City, CA · On-site
$177K - $270K/yr
The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. The Opportunity Would you like to be part of the ML Training ...
ML Engineer
Aliso Viejo, CA · On-site
ML Engineer I JOB SUMMARY Under guidance from Senior ML Engineers, develop ML models that provides accurate results with controls to solve the business problem identified, using state of art ...
ML Engineer
Aliso Viejo, CA · On-site
ML Engineer I JOB SUMMARY Under guidance from Senior ML Engineers, develop ML models that provides accurate results with controls to solve the business problem identified, using state of art ...
ML Engineer
Malvern, PA · On-site
$120K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance ...
ML Engineer
Malvern, PA · On-site
$120K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance ...
Software Engineer, ML Platform (ML Training)
Foster City, CA · On-site
$177K - $270K/yr
The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. The Opportunity Would you like to be part of the ML Training ...
Software Engineer, ML Platform (ML Training)
Foster City, CA · On-site
$177K - $270K/yr
The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. The Opportunity Would you like to be part of the ML Training ...
ML Engineer
Minneapolis, MN · On-site
* Translate data science prototypes into production-grade ML services and pipelines. * Build training and inference code with reproducibility, versioning, and automated testing. * Implement scalable ...
ML Engineer
Minneapolis, MN · On-site
* Translate data science prototypes into production-grade ML services and pipelines. * Build training and inference code with reproducibility, versioning, and automated testing. * Implement scalable ...
ML Engineer
New York, NY · On-site
"- Translate data science prototypes into production-grade ML services and pipelines. - Build training and inference code with reproducibility, versioning, and automated testing. - Implement scalable ...
ML Engineer
New York, NY · On-site
"- Translate data science prototypes into production-grade ML services and pipelines. - Build training and inference code with reproducibility, versioning, and automated testing. - Implement scalable ...
They are seeking an ML Research Engineer to build and optimize their internal distributed framework for large language model training and inference, collaborating with various ML teams and ...
They are seeking an ML Research Engineer to build and optimize their internal distributed framework for large language model training and inference, collaborating with various ML teams and ...
ML ENGINEER Job Location Primary: Tampa - FL/ Alternate GA Job summary - - Typically, minimum of 4 years - Professional Experience in Coding, Designing, Developing and Analyzing Data in DS setting ...
ML ENGINEER Job Location Primary: Tampa - FL/ Alternate GA Job summary - - Typically, minimum of 4 years - Professional Experience in Coding, Designing, Developing and Analyzing Data in DS setting ...
Ml information
See salary details
$20.43 - $22.33
4% of jobs
$22.33 - $24.24
16% of jobs
$24.52 is the 25th percentile. Wages below this are outliers.
$24.24 - $26.14
30% of jobs
$26.14 - $28.04
9% of jobs
$28.04 - $29.94
4% of jobs
$29.94 - $31.84
2% of jobs
$31.84 - $33.74
3% of jobs
$33.74 - $35.64
4% of jobs
$36.47 is the 75th percentile. Wages above this are outliers.
$35.64 - $37.54
4% of jobs
$37.54 - $39.44
4% of jobs
$39.44 - $41.35
18% of jobs
$20
$30
$41
How much do ml jobs pay per hour?
As of Sep 10, 2026, the average hourly pay for ml in the United States is $30.58, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $38.46 per hour, depending on experience, location, and employer.
What is the difference between Ml vs Data Analyst?
| Aspect | ML (Machine Learning) | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, Data Science, or related; often includes knowledge of programming and statistics | Bachelor's in Statistics, Mathematics, or related; strong analytical and Excel skills |
| Work Environment | Developing models, coding, using programming languages like Python or R | Data cleaning, visualization, reporting using tools like Excel, Tableau |
| Industry Usage | Tech, finance, healthcare, e-commerce, where predictive models are needed | Business intelligence, marketing, finance, where data insights inform decisions |
Machine Learning (ML) specialists focus on creating algorithms and models to enable computers to learn from data, often requiring programming and statistical skills. Data Analysts interpret data, generate reports, and visualize insights to support business decisions. While both roles work with data, ML is more technical and model-driven, whereas Data Analysts focus on data interpretation and presentation.
What cities are hiring for Ml jobs?
Cities with the most Ml job openings:
What states have the most Ml jobs?
States with the most job openings for Ml jobs include:
ML Engineer
Charlotte, NC • On-site
Catalyst Labs
Full-time
Re-posted 18 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.
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, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation.
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.