ZipRecruiter

Log In

1

Databricks Ml Jobs (NOW HIRING)

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP or Databricks ML/AI ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior consulting and business development experience a plus

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ... MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP or Databricks ML/AI ...

Cognizant

Databricks Architect

Sarasota, FL · On-site

$60 - $79/hr

Evaluate and recommend emerging technologies and AI/ML capabilities within the Databricks ecosystem. Required Skills * 12+ years of Data Engineering/Data Architecture experience. * 5+ years of hands ...

Daman Inc

Machine Learning Engineer

San Antonio, TX · On-site

AI or DataBricks ML platform is desired * Experience with AWS or Azure ML stack is desired * Experience in using Python, R or Matlab is required * Industry experience as a Machine Learning Engineer

New

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP or Databricks ML/AI ...

TEKFORTUNE INC

Solution Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

... Databricks ML Data Scientist Certifications. Company : Tekfortune Inc. Founded in 2014, the company is headquartered in Piscataway, USA, with a team of 51-200 employees. The company is currently ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Job Title: AI/ML Architect with Databricks, Azure Location: Los Angeles CA or New York NY (Hybrid) Hire type: Contract Need 15+ years of experience resumes. Role Overview We are seeking an ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Scientist JobsDatabricks Ml Jobs

Databricks Ml information

See salary details

$59.5K

$111.6K

$203K

How much do databricks ml jobs pay per year?

As of Sep 9, 2026, the average yearly pay for databricks 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 are popular job titles related to Databricks Ml jobs?

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

Infographic showing various Databricks Ml job openings in the United States as of September 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Senior Software Engineer (Backend) - AI/ML Environments

Mountain View, CA • On-site

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

$144K - $190K/yr

Full-time

Re-posted 14 days ago

Job description

P-78

At Databricks, we are passionate about enabling data and AI teams 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 infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure - with deep ties to research, product, and real-world enterprise use cases.  Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We're building the infrastructure that powers the next generation of AI.

The impact you will have
  • Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly. 
  • Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc. 
  • Interact with turnkey customers and product managers to envision new features and identify areas for improvement.
  • Shape how developers and data scientists build and interact with AI on Databricks.
What we look for
  • 5+ years of experience in backend or infrastructure engineering with a focus on building systems
  • Strong programming skills in Python, Scala or Java
  • Experience with distributed systems, scalable APIs, or cloud-native infrastructure
  • Familiarity with service-oriented architecture, deployment pipelines, and system observability
  • Strong product and ownership mindset - you care about building the right solution, not just any solution
  • Strong understanding of dependency management technologies including virtual environments or containerization technologies. 

Apply