ML Engineer
Palo Alto, CA
Open to Remote
Contract
$60/hr - $100/hr
We’re looking for a Senior Machine Learning Engineer to join a remote role within a Grocery Delivery organization. In this role you’ll build ML models to analyze shopper behavior when considering pricing and promotions.
We're seeking mid-level Machine Learning Engineers with a solid grasp of core ML concepts to join our dynamic team. Here, you'll tackle exciting and complex challenges—whether it's optimizing delivery routes to ensure timely arrivals or helping customers discover the perfect items. Machine learning is the driving force behind these innovations, playing a pivotal role in Instacart’s bold growth strategy and shaping our vision for the future.
Required Skills & Experience
What You Will Be Doing
#LI-EM1
We're seeking mid-level Machine Learning Engineers with a solid grasp of core ML concepts to join our dynamic team. Here, you'll tackle exciting and complex challenges—whether it's optimizing delivery routes to ensure timely arrivals or helping customers discover the perfect items. Machine learning is the driving force behind these innovations, playing a pivotal role in Instacart’s bold growth strategy and shaping our vision for the future.
Required Skills & Experience
- 4+ years of experience in Data Science or Machine Learning, with a clear track record of driving business value
- B.S., M.S., or PhD in Statistics, Mathematics, Operations Research, Machine Learning, Economics, Computer Science, or related quantitative fields
- Strong understanding of Generalized Linear Models and advanced statistics
- Proficient in Python, with hands-on experience using libraries like NumPy and Pandas
- Experience in demand modeling, pricing strategies, and causal inference methods
- Startup experience is a plus
- Experience in Hypothesis Testing, Maximum Likelihood Estimation, and A/B testing
- Strong foundation in math and statistics, including Linear Algebra, Bayesian Methods, and Calculus
- Expertise in Machine Learning techniques like GBDT, Random Forests, Neural Networks, Regularization Methods, and Dimensionality Reduction
- Familiarity with Agile methodologies and processes
What You Will Be Doing
- Research and implement cutting-edge Data Science and Machine Learning models to optimize pricing strategies and shopper behavior analysis
- Build models that measure the impact of price changes and promotions, balancing modern AI methods with proven classical techniques
- Develop systems to optimize pricing and experiment design across hundreds of stores and thousands of products, while managing the exploration-exploitation tradeoff
- Design automated pricing experiments, run them at scale, and analyze results to continually improve models
#LI-EM1
You will receive the following benefits:
- Medical Insurance - Four medical plans to choose from for you and your family
- Dental & Orthodontia Benefits
- Vision Benefits
- Health Savings Account (HSA)
- Health and Dependent Care Flexible Spending Accounts
- Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
- Hospital Indemnity Insurance
- 401(k) including match with pre and post-tax options
- Paid Sick Time Leave
- Legal and Identity Protection Plans
- Pre-tax Commuter Benefit
- 529 College Saver Plan
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.