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OR · Remote
$18 - $40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
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OR · Remote
$18 - $40/hr
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Eugene, OR · Remote
$18 - $40/hr
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$18 - $40/hr
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Eugene, OR · On-site
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Eugene, OR · On-site
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Gresham, OR · On-site
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Gresham, OR · On-site
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Senior Machine Learning Engineer
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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Research Machine Learning Federated Learning information
What are the key skills and qualifications needed to thrive as a Researcher in Machine Learning Federated Learning, and why are they important?
What are some common challenges faced when implementing federated learning in a research environment?
What is a Researcher in Machine Learning Federated Learning?
What is the difference between Research Machine Learning Federated Learning vs Data Scientist?
| Aspect | Research Machine Learning Federated Learning | Data Scientist |
|---|---|---|
| Credentials | Advanced degrees in CS, ML, or related fields; research experience | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Research labs, academic institutions, tech companies focusing on privacy-preserving ML | Business environments, analytics teams, data-driven departments |
| Industry Usage | Developing federated algorithms, privacy-preserving ML models | Data analysis, modeling, reporting, and insights generation |
Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.
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Instacart rating
7.1
Based on 31 frontline employees who took The Breakroom Quiz
29th of 64 rated delivery companies
Job description
Overview
We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in particular looking for current or recently graduated PhD students in economics or related fields like marketing, finance, or operations research. Candidates should bring some relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications.
The Economics team at Instacart works on a range of interesting and challenging problems at the intersection of machine learning and economics, from aligning the incentives in our multi-sided marketplace to analyzing the impact of behavioral nudges on our customers' and shoppers' decisions. Some of the core areas of focus for our team include online advertising, uplift and long term value modeling, logistics, marketplace optimization (consumers, shoppers, retailers), inventory intelligence, and general causal inference. You can find more information in our blog post that introduces the team and the type of work we do.
About the Job
- You will help design and build end-to-end machine learning solutions.
- You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects.
- You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains.
- You will develop high impact solutions to support Instacart's ambitious growth plans.
- You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments.
- You will have the freedom to suggest and drive organization-wide initiatives.
About You
Minimum Qualifications
- Current or recently graduated PhD student in economics or a related field with focus on data-intense problems.
- A blend of economic theory, applied econometrics, and business acumen that let you jump into a fast-paced environment and contribute from day one.
- Expertise in causal inference with observational and experimental data.
- Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Self-motivation and a strong sense of ownership
What Instacart employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Instacart
Sourced by ZipRecruiter
Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Francisco, CA, US
Year founded
2012