Join Weee! as a Senior Machine Learning Engineer to develop advanced models for pricing strategies and promotional effectiveness.
Posted by employer 1 day ago
First seen on Joblaze 17 hours ago
Last verified on the company career page 17 hours ago
Skills & Technologies
What you'll build
- Develop and implement advanced machine learning models
- Build end-to-end solutions utilizing unique data sources
- Collaborate with cross-functional teams
- Drive insights and strategies using analytical skills
Must have
- Bachelor’s degree in Information Science or related fields
- 24 months of experience as a Quantitative Analyst, AI Engineer or ML related position
- 2 years of professional experience in Deep Learning Model Design
- 2 years of professional experience in Traditional Machine Learning
- 2 years of professional experience in Time-Series Forecasting
Nice to have
- Experience with Multimodal and Unstructured Data Modeling
- Experience with Representation Learning, Embeddings, and Retrieval Systems
- Experience with Generative AI / LLM Applications
- Experience with Production ML Infrastructure and Cloud Deployment
Practical constraints
- Onsite 5 days a week
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In this role, the Senior Machine Learning Engineer at Weee! focuses on developing and implementing advanced machine learning models to optimize pricing strategies and enhance promotional effectiveness. Key skills include deep learning model design, time-series forecasting, and experience with production ML infrastructure. This position is suited for professionals with a background in quantitative analysis or AI engineering, ideally with at least two years of relevant experience. Weee! is experiencing rapid growth and aims to leverage machine learning innovations to drive business efficiency.
Joblaze insights
- Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Weee!'s careers page October 21, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
- Starts above 6% of 67 comparable senior ai/ml roles in United States that list Machine Learning we track (median $208,000 across 35 companies). See Machine Learning salary trends
- Machine Learning appears in 18.2% of 549 comparable senior ai/ml roles in United States; Generative AI appears in 1.5% of 549 comparable senior ai/ml roles in United States.
Quick facts
- Is the Senior Machine Learning Engineer role remote?
- No — this is an on-site role in Fremont, California, United States.
- What's the salary for this Senior Machine Learning Engineer role?
- Weee! lists a starting salary of $137,093.
- How much experience is required?
- At least 2 years of relevant experience for this Senior Machine Learning Engineer role.
- Where is the role based?
- Weee! is hiring for this position in Fremont, California, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, Generative AI, Machine Learning, time-series forecasting.
- What seniority level is this role?
- Weee! targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Machine Learning Engineer role at Weee!.
From the original posting
About Weee!
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
Standard company text repeated across Weee!'s postings is omitted here.