Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
ML Engineer-Databricks
San Jose, CA
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and develop scalable ML models and workloads on cloud ML platforms
Publish ML predictions and recommendations as microservices or APIs
Build workflows to automate and monitor ML model engineering, with alerts
Implement performance tuning and model optimization
Prepare ML models and their scoring processes
From the employer’s posting
Design and develop scalable ML models and workloads on cloud ML platforms
including publish microservices/APIs
Incorporate workflows into ML Model Engineering processes, to automate, monitor, and produce alerts
Implement performance tuning and model optimization
Facilitate and participate in the preparation of ML models and their scoring processes
Education & alternatives
Skills & background: - Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent field, with strong communication and cross-functional collaboration skills. - Bachelor's degree in a technical field such as computer science, computer engineering or related field required
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent field, with strong communication and cross-functional collaboration skills. - Bachelor's degree in a technical field such as computer science, computer engineering or related field required - 5+ years of experience as AI/ML Engineer
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 6
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Jadeglobal is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- Docker
- GCP
- Kubernetes
- Snowflake
- FastAPI
- NumPy
- pandas
Where the posting names them
- Hands-on experience with Databricks, including Unity Catalog, and cloud ML platforms such as Azure ML Studio, AWS, or GCP. - Experience building and scaling end-to-end ML systems, ETL/ELT pipelines, and data workflows using Python, NumPy, Pandas, and SQL. - Experience building scalable APIs and microservices using FastAPI, with Snowflake or equivalent data warehouse technologies.
ML Engineer-Databricks1- Design and develop scalable ML models and workloads on cloud ML platforms such as Azure ML Studio, AWS, or GCP. - Facilitate and participate in the preparation of ML models and their scoring processes
- Experience in Machine Learning, Data Engineering, ML Infrastructure, or related fields, with strong foundations in probability, statistics, and machine learning. - Hands-on experience with Databricks, including Unity Catalog, and cloud ML platforms such as Azure ML Studio, AWS, or GCP. - Experience building and scaling end-to-end ML systems, ETL/ELT pipelines, and data workflows using Python, NumPy, Pandas, and SQL.
- Experience building scalable APIs and microservices using FastAPI, with Snowflake or equivalent data warehouse technologies. - Experience deploying production workloads using Docker and Kubernetes, with a strong understanding of scalable, reliable software engineering practices. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional compensation may include benefits, discretionary bonuses, and equity
- Experience building and scaling end-to-end ML systems, ETL/ELT pipelines, and data workflows using Python, NumPy, Pandas, and SQL. - Experience building scalable APIs and microservices using FastAPI, with Snowflake or equivalent data warehouse technologies. - Experience deploying production workloads using Docker and Kubernetes, with a strong understanding of scalable, reliable software engineering practices.
Your next step
Complete your application on jadeglobal.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Job description
ML Engineer-Databricks1
- Design and develop scalable ML models and workloads on cloud ML platforms such as Azure ML Studio, AWS, or GCP.
- Facilitate and participate in the preparation of ML models and their scoring processes
- Develop and support the ML portion of the DT GoToMarket strategy to maximize the distribution of ML predictions and recommendations, including publish microservices/APIs
- Incorporate workflows into ML Model Engineering processes, to automate, monitor, and produce alerts
- Implement performance tuning and model optimization
- Stay current on emerging ML platforms and technologies and recommend solutions that would enhance current systems or implementationCollaborate with Product and Engineering team members to follow all documented architecture, design & deployment processes to ensure compliance with policies
Skills & background:
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent field, with strong communication and cross-functional collaboration skills.
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required
- 5+ years of experience as AI/ML Engineer
- Ability to work as part of a team and collaborate, as well as work independently or with minimal direction
- Excellent written, presentation, and verbal communication skills
- Experience in Machine Learning, Data Engineering, ML Infrastructure, or related fields, with strong foundations in probability, statistics, and machine learning.
- Hands-on experience with Databricks, including Unity Catalog, and cloud ML platforms such as Azure ML Studio, AWS, or GCP.
- Experience building and scaling end-to-end ML systems, ETL/ELT pipelines, and data workflows using Python, NumPy, Pandas, and SQL.
- Experience building scalable APIs and microservices using FastAPI, with Snowflake or equivalent data warehouse technologies.
- Experience deploying production workloads using Docker and Kubernetes, with a strong understanding of scalable, reliable software engineering practices.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional compensation may include benefits, discretionary bonuses, and equity
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Jose, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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