We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Senior Machine Learning Engineer
OR · Remote
$140K - $190K/yr
By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... Collaborate across teams of data scientists, product managers, designers, engineers, and domain ...
Senior Machine Learning Engineer
OR · Remote
$140K - $190K/yr
By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... Collaborate across teams of data scientists, product managers, designers, engineers, and domain ...
Staff/Principal Machine Learning Engineer
OR · On-site +1
As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... This includes building a unified embeddings platform for training, serving, and managing ...
Staff/Principal Machine Learning Engineer
OR · On-site +1
As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... This includes building a unified embeddings platform for training, serving, and managing ...
Senior Machine Learning Engineer, Operations Research
OR · Remote
$204K/yr
We are looking for a Senior Machine Learning Engineer with a strong Operations Research background ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Senior Machine Learning Engineer, Operations Research
OR · Remote
$204K/yr
We are looking for a Senior Machine Learning Engineer with a strong Operations Research background ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
OR · On-site
... Machine Learning team ... In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML ...
Senior Staff Machine Learning Scientist, Assets
OR · On-site +1
$91K - $124K/yr
... build, manage, and optimize high-performing web experiences that drive predictable growth and ... We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ...
Senior Staff Machine Learning Scientist, Assets
OR · On-site +1
$91K - $124K/yr
... build, manage, and optimize high-performing web experiences that drive predictable growth and ... We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
OR · On-site
$91K - $124K/yr
Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... product managers and data scientists. Preferred Qualifications * Experience in ads ranking or ...
OR · On-site
$466K - $750K/yr
We are looking for an experienced Machine Learning Engineer with deep expertise in training and ... You will partner with a talented cross-functional team of scientists, engineers, product managers ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site +1
$128K - $168K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site +1
$128K - $168K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site
$165K - $190K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site
$165K - $190K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Staff Product Manager, Conversion ML
OR · On-site +1
To do so, we build Machine Learning technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the ...
Staff Product Manager, Conversion ML
OR · On-site +1
To do so, we build Machine Learning technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine LearningEngineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine LearningEngineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
Senior Product Manager, Ads Quality
OR · Remote
$126K - $166K/yr
As part of the Ad Product team, you'll sit at the intersection of machine learning, marketplace ... We're looking for a Senior Product Manager to own the systems that drive core auction understanding ...
Senior Product Manager, Ads Quality
OR · Remote
$126K - $166K/yr
As part of the Ad Product team, you'll sit at the intersection of machine learning, marketplace ... We're looking for a Senior Product Manager to own the systems that drive core auction understanding ...
Manager Spacex Machine Learning information
What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?
| Aspect | Manager Spacex Machine Learning | Data Scientist Spacex |
|---|---|---|
| Credentials | Advanced degrees in CS, ML, or related fields; leadership experience | Degree in CS, Data Science, or related fields; strong analytical skills |
| Work Environment | Team leadership, project management, strategic planning | Data analysis, model development, experimentation |
| Industry Usage | Oversees ML teams, manages projects, aligns with business goals | Builds models, analyzes data, provides insights |
The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.
Instacart rating
7.1
Based on 31 frontline employees who took The Breakroom Quiz
27th of 64 rated delivery companies
Job description
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.
Overview
Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.
We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.
About the Team:
This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:
Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.
Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).
Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!
Past internship contributions include:
Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)
About the Job
Based on your passion and background, you may choose to work in a few different areas:
- Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
- Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
- Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
- Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
- Fraud detection and prevention - Using cost sensitive learning to reduce loss.
- Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
- Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.
About You
Minimum Qualifications:
- Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
- Strong programming (Python, C++) and algorithmic skills.
- Good communication skills. Curious, willing to learn, self-motivated, hands-on.
Preferred Qualifications:
- Ph.D. student at a top tier university in the United States
- Prior internship/work experience in the machine learning space
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role.
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