Pay
Lower than most similar jobs
$137K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Machine Learning Engineer
Fremont, California, United States
Live, first seen by us 15 days ago- Pay
$137,093/year · BaseAnnual period assumed — pay source
Compensation Range The US base salary range for this full-time position is $137,093 This role may be eligible to discretionary bonus, incentives and benefits
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop advanced ML models for pricing and promotional effectiveness
Build end-to-end solutions from data exploration to deployment and monitoring
Work with cross-functional teams on pricing and promotional planning optimization
Apply statistical and ML models to find new business opportunities
From the employer’s posting
Develop and implement advanced machine learning models to enhance pricing strategies and promotional effectiveness
Build end-to-end solutions utilizing our unique data sources, from data exploration, model design, training, testing, deployment, to monitoring and maintenance.
Collaborate with cross-functional teams to introduce machine learning innovations and address optimization challenges within pricing and promotional planning
Drive insights and strategies by leveraging strong analytical skills along with machine learning and statistical models to capitalize on new business opportunities.
Education & alternatives
- Drive insights and strategies by leveraging strong analytical skills along with machine learning and statistical models to capitalize on new business opportunities. - Job Requirements: Job requires a bachelor’s degree in Information Science or related fields and 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position. Candidate must have 2 years of professional experience in: - Deep Learning Model Design and Architecture
- Production ML Infrastructure and Cloud Deployment Employer will accept any suitable combination of education, training, or experience. Employer will accept a bachelor’s degree (or foreign equivalent) in one of the requisite fields followed by 24 months of experience in the position of Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position. Compensation Range
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 202615 days ago
- Recorded sightings
- 16
- 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 15
Similar jobs usually come down between day 6 and day 70.
From 4,442 similar postings that came down. Coming down is not always a hire.
Weee! is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
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Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About Weee!
Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch.
Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing.
This role is onsite 5 days a week in Fremont, CA
Job Opening: Senior Machine Learning Engineer
Job Duties:
- Develop and implement advanced machine learning models to enhance pricing strategies and promotional effectiveness, focusing on both demand forecasting and optimization.
- Build end-to-end solutions utilizing our unique data sources, from data exploration, model design, training, testing, deployment, to monitoring and maintenance.
- Collaborate with cross-functional teams to introduce machine learning innovations and address optimization challenges within pricing and promotional planning, aimed at improving revenue growth, profitability, and overall business efficiency.
- Drive insights and strategies by leveraging strong analytical skills along with machine learning and statistical models to capitalize on new business opportunities.
- Job Requirements: Job requires a bachelor’s degree in Information Science or related fields and 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position. Candidate must have 2 years of professional experience in:
- Deep Learning Model Design and Architecture
- Traditional Machine Learning for Production Use Cases
- Time-Series Forecasting and Decision Modeling
- Multimodal and Unstructured Data Modeling
- Representation Learning, Embeddings, and Retrieval Systems
- Generative AI / LLM Applications
- Production ML Infrastructure and Cloud Deployment
Employer will accept any suitable combination of education, training, or experience. Employer will accept a bachelor’s degree (or foreign equivalent) in one of the requisite fields followed by 24 months of experience in the position of Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position.
Compensation Range
- The US base salary range for this full-time position is $137,093
- This role may be eligible to discretionary bonus, incentives and benefits
- Our salary ranges are determined by role, level, and location
The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.
Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com.
For more jobs and to find out more about Weee!, visit our career page: https://about.sayweee.com/careers
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation Range The US base salary range for this full-time position is $137,093 This role may be eligible to discretionary bonus, incentives and benefits
- Location & working pattern
Fremont, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.