ZipRecruiter

Log In

1

Databricks Machine Learning Jobs (NOW HIRING)

Machina Labs

Machine Learning Engineer

Chatsworth, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Leverage Databricks and Apache Spark for large-scale data processing and model development.

Interwell Health

Machine Learning Engineer

As a Machine Learning Engineer, you're a highly motivated individual with strong fundamentals in ... Preferred * 1+ years of Databricks experience + some experience in infrastructure/networking * 1+ ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Leverage Databricks and Apache Spark for large-scale data processing and model development.

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Build and support machine learning solutions within the Databricks environment. * Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog, and Databricks ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Build and support machine learning solutions within the Databricks environment. * Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog, and Databricks ...

Corning

What would be a plus? - Exposure to Databricks, MLflow, Kubeflow, Docker, Kubernetes, CI/CD, or ... machine learning initiatives that support manufacturing and business transformation ...

SuperMom's LLC

Machine Learning Engineer II

Irving, TX · On-site

Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...

SuperMom's LLC

Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...

Corning

Machine Learning Modeling Engineer

Corning, NY · On-site

Key Responsibilities Develop advanced machine learning, deep learning, and generative AI models in ... Experience with Databricks Workflows, Delta Lake, and data governance frameworks. Foundation in ...

Corning

Machine Learning Modeling Engineer

Corning, NY · On-site

Key Responsibilities • Develop advanced machine learning, deep learning, and generative AI models ... Databricks. • Strong communication skills and ability to work effectively with scientists ...

InterSources Inc

Azure ML/AI Architect

Santa Clara, CA · On-site

$74.50 - $97.25/hr

Preferred : • Databricks - Machine learning professional (highly preferred) Company : InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Scientist JobsDatabricks Machine Learning Jobs

Databricks Machine Learning information

See salary details

$13

$22

$31

How much do databricks machine learning jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for databricks machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is Databricks Machine Learning?

Databricks Machine Learning is a cloud-based platform that provides a collaborative environment for building, training, and deploying machine learning models at scale. It integrates with Apache Spark and offers tools for managing the entire machine learning lifecycle, from data preparation to model deployment. The platform supports popular ML frameworks like TensorFlow, PyTorch, and scikit-learn, and includes features such as automated machine learning (AutoML), experiment tracking, and model management. Databricks Machine Learning is designed to help teams accelerate the development and operationalization of machine learning solutions.

What are the key skills and qualifications needed to thrive as a Databricks Machine Learning engineer?

To thrive as a Databricks Machine Learning Engineer, you need a solid background in machine learning, data science, and programming (especially Python or Scala), typically supported by a relevant degree and experience in big data environments. Proficiency with Databricks, Apache Spark, MLflow, and cloud platforms like AWS or Azure is essential, and certifications such as Databricks Certified Machine Learning Professional are highly valued. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and translate business requirements into technical solutions. These skills ensure you can build, deploy, and manage scalable ML models that drive valuable business insights and outcomes.

What are some common challenges faced by professionals working with Databricks Machine Learning, and how can they be addressed?

Professionals in Databricks Machine Learning often encounter challenges such as managing large-scale data efficiently, ensuring data quality, and optimizing distributed machine learning workflows. Collaboration with data engineers and DevOps teams is essential to streamline data pipelines and maintain model reproducibility. Leveraging Databricks' built-in version control, automated ML features, and scalable cluster management can help mitigate these challenges. Staying up-to-date with platform updates and best practices also contributes to smoother project execution.

What is the difference between Databricks Machine Learning vs Data Scientist?

AspectDatabricks Machine LearningData Scientist
CredentialsExperience with cloud platforms, data engineering, ML frameworksDegree in CS, statistics, or related fields; often with certifications
Work EnvironmentCollaborates with data engineers, data scientists on cloud-based platformsAnalyzes data, builds models, often in research or business settings
Tools & SkillsDatabricks platform, Spark, MLflow, Python, SQLPython, R, SQL, statistical analysis, visualization tools

While Databricks Machine Learning focuses on deploying scalable ML models using the Databricks platform, Data Scientists primarily analyze data and develop models, often using various tools and environments. Both roles collaborate closely but differ in technical focus and responsibilities.

Are Databricks good for machine learning?

Databricks Machine Learning is a popular platform for developing and deploying machine learning models, offering integrated tools for data processing, model training, and collaboration. It supports scalable cloud-based environments and integrates with frameworks like TensorFlow and PyTorch, making it suitable for data scientists and ML engineers. Its collaborative workspace and automation features help streamline the machine learning lifecycle.

Does Databricks Machine Learning hire remote employees?

Databricks Machine Learning roles can be remote, depending on the position and company policies. Many companies in the tech industry, including those offering machine learning roles, support remote work arrangements, especially for roles involving cloud platforms and data science tools. Candidates should review specific job postings for location requirements and remote work options.

What are popular job titles related to Databricks Machine Learning jobs?

For Databricks Machine Learning jobs, the most frequently searched job titles are:

Infographic showing various Databricks Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer

Chatsworth, CA

Machina Labs
1 - 10 employees
Learn more about Machina Labsexternal

$160K - $190K/yr

Full-time

Re-posted 28 days ago

Key responsibilities

  • Design, build, train, evaluate, and deploy machine learning models to support and improve robotic manufacturing processes.

  • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation.

  • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure.

Job description

About Machina Labs
 
Engineering moves at software speed. Manufacturing doesn't. Yet.
 
Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.
 
Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.
 
If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.    

Job Description:

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability.

This is a hands-on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real-world manufacturing challenges, we’d love to hear from you.

Key Responsibilities:
  • Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes.
  • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation.
  • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure.
  • Leverage Databricks and Apache Spark for large-scale data processing and model development.
  • Collaborate with cross-functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows.
  • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
  • Write clean, well-documented, and production-quality Python code.
  • Communicate findings, results, and recommendations to both technical and non-technical stakeholders.
  • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
  • Write clean, well-documented, and production-quality Python code.
  • Communicate findings, results, and recommendations to both technical and non-technical stakeholders.
Required Background & Experience:
  • Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands-on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience.
  • Strong experience designing, building, training, and testing machine learning models end-to-end.
  • Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction.
  • Proficiency in Python for ML development, data processing, and scripting.
  • Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.
  • Experience with Databricks and Apache Spark for data engineering and model development.
Preferred Qualifications:
  • Machine learning experience in CAD and computational geometry applications.
  • Experience working in the industrial or manufacturing space.
  • Experience with robotics, including robotic perception, control, or planning.
 

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position.

In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation.

 
Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. 
 
We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. 

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. 

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.