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Mosaic Ml Jobs (NOW HIRING)

Sonny's Enterprises LLC

AI/ML Data Engineer

$117K - $140K/yr

The AI/ML Engineer builds, deploys, and supports production forecasting and AI capabilities on top ... Preferred Qualifications • Experience with MLflow, Mosaic AI Model Serving, Unity Catalog ...

Sonny's Enterprises LLC

$114K - $137K/yr

The AI/ML Engineer builds, deploys, and supports production forecasting and AI capabilities on top ... Preferred Qualifications Experience with MLflow, Mosaic AI Model Serving, Unity Catalog-governed AI ...

Honeywell

Advanced AI Engineer

Charlotte, NC · On-site

Hands-on experience with Databricks Mosaic AI , MLflow , and Unity Catalog for governed AI development. * Familiarity with CI/CD pipelines for AI/ML solutions and infrastructure-as-code practices.

Honeywell

Advanced AI Engineer

Charlotte, NC · Hybrid

Hands-on experience with Databricks Mosaic AI , MLflow , and Unity Catalog for governed AI development. * Familiarity with CI/CD pipelines for AI/ML solutions and infrastructure-as-code practices.

Honeywell

Advanced AI Engineer

Charlotte, NC · Hybrid

Hands-on experience with Databricks Mosaic AI , MLflow , and Unity Catalog for governed AI development. * Familiarity with CI/CD pipelines for AI/ML solutions and infrastructure-as-code practices.

Radiology Partners

Product Manager

$150K - $200K/yr

WHO WE ARE AND WHAT WE DO Mosaic Clinical Technologies™ is pioneering a new imaging paradigm ... Collaborate closely with engineering, AI/ML, design, and clinical teams to translate complex health ...

Radiology Partners

Product Manager

$150K - $200K/yr

WHO WE ARE AND WHAT WE DO Mosaic Clinical Technologies™ is pioneering a new imaging paradigm ... Collaborate closely with engineering, AI/ML, design, and clinical teams to translate complex health ...

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Mosaic Ml information

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$59.5K

$111.6K

$203K

How much do mosaic ml jobs pay per year?

As of Jul 27, 2026, the average yearly pay for mosaic ml in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the difference between Mosaic Ml vs Data Analyst?

AspectMosaic MlData Analyst
Required CredentialsTypically requires machine learning, data science, or related certificationsOften requires statistics, data analysis, or business intelligence certifications
Work EnvironmentFocuses on developing ML models, coding, and algorithm optimizationInvolves data interpretation, reporting, and business insights
Employer & Industry UsageUsed in tech, finance, and data-driven companies for predictive modelingCommon across various industries for data reporting and decision support

While both roles work with data, Mosaic Ml primarily focuses on building and deploying machine learning models, requiring coding and algorithm skills. Data Analysts interpret data and generate reports to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What is Mosaic ML?

Mosaic ML is a company that specializes in developing tools and infrastructure to make training large-scale machine learning models more efficient, affordable, and accessible. They provide a platform and software suite that allows organizations to customize, train, and deploy state-of-the-art AI models, including large language models (LLMs), without the massive computational resources typically required. Mosaic ML focuses on optimization techniques that reduce training time and cost, making advanced AI more attainable for businesses and research teams. Their technology is used across industries for tasks like natural language processing, computer vision, and generative AI applications.

How does a Mosaic ML engineer typically collaborate with data scientists and product teams during a project?

Mosaic ML engineers work closely with data scientists to design, scale, and optimize machine learning models, ensuring they meet both technical and business requirements. They frequently participate in cross-functional meetings to align model development with product objectives, while also translating complex technical concepts for non-technical stakeholders. Collaboration often involves iterative feedback, code reviews, and the joint troubleshooting of model deployment issues, fostering a dynamic and supportive team environment. This teamwork not only accelerates project delivery but also offers engineers valuable exposure to different perspectives and skill sets.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at MosaicML, and why are they important?

To thrive as a Machine Learning Engineer at MosaicML, you need a strong background in computer science, statistics, and deep learning, often supported by a relevant degree and experience with large-scale model training. Familiarity with ML frameworks such as PyTorch or TensorFlow, distributed computing systems, and version control tools like Git is typically required. Strong problem-solving skills, teamwork, and effective communication help you collaborate and adapt in a fast-evolving field. These skills are crucial for building efficient machine learning systems and contributing to innovative AI research and deployment.
More about Mosaic Ml jobs
What cities are hiring for Mosaic Ml jobs? Cities with the most Mosaic Ml job openings:
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Mosaic Ml jobs near you
Infographic showing various Mosaic Ml job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Senior Machine Learning Engineer - GenAI Platform

Senior Machine Learning Engineer - GenAI Platform

Databricks

San Francisco, CA

$123K - $169K/yr

Other

Posted 2 days ago

Job description

P-984

Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI's pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.

Summary: 

Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building.

You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user-facing features to low-level GPU orchestration.

You will:

  • Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models
  • Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform
  • Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design and own end-to-end implementation
  • Design and build the core platform infrastructure that supports our customer-facing product features
  • Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product

We look for:

  • 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++
  • Strong sense of distributed systems design and experience building large-scale systems
  • Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving
  • Direct experience developing ML models is a plus but not required
  • Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability
  • Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.

We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.

Apply