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Remote Edge Ai Machine Learning Jobs (NOW HIRING)

Booz Allen Hamilton

Agentic AI Machine Learning Engineer

$84K - $112K/yr

Booz Allen Hamilton is looking for an experienced machine learning engineer to create AI and ML enabled solutions for the Defense and Intelligence sectors. The role involves designing, implementing ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

About Nucs AI Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging ... Autonomy and flexibility - Remote-first, flexible working. We hire great people and trust them to ...

WEX, Inc.

PhD Intern - AI/ML/NLP Engineer

$35 - $43/hr

You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning, and software engineering to create tangible business value. This is a project-based internship.

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

... edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

... edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

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Remote Edge Ai Machine Learning information

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$25.5K

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How much do remote edge ai machine learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

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Remote Edge Ai Machine Learning jobs near you
Machine Learning Engineer, PhD Intern (Fall)

Machine Learning Engineer, PhD Intern (Fall)

Instacart

Remote

Internship

Re-posted 7 days ago

Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 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. Learn more about our flexible approach to where we work.
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.
Machine learning is central to how we build intelligent shopping experiences at Instacart. We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. A few examples:
  • We build state-of-the-art models powering Search, Discovery, and Ads, combining generative AI and traditional machine learning to create best-in-class recommendations
  • We build rich product and knowledge graphs from catalog data imported from hundreds of retailers, applying them in recommendations and other user experiences
  • We redefine traditional domains across the company with AI, such as hyperpersonalized marketing and 0 → 1 meal planning products

We are looking for talented Ph.D. students to join our fast-moving ML teams and work on high-impact problems at the intersection of LLM research, large-scale ML systems, and real-world e-commerce applications.
ABOUT THE JOB
Based on your passion and background, you may choose to work in a few different areas:
  • Query understanding: Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and support downstream retrieval and ranking.
  • Search relevance and ranking: Improving search relevance by incorporating signals from user behavior, catalog knowledge, and generative models, including hybrid retrieval and ranking systems.
  • Generative recommendations: Pushing the boundaries of where generative and traditional models intersect across retrieval and ranking systems; developing scalable feedback and reward modeling approaches for closed-loop learning (RFT).
  • LLM evaluation and AIQA systems: Building LLM-based evaluation frameworks (e.g., LLM-as-a-Judge, self-critique) to improve the quality and reliability of generative and agentic systems.
  • Low-latency and scalable LLM systems: Researching techniques to deploy LLMs in high-traffic, latency-sensitive production environments, balancing quality, cost, and latency through cascading, distillation, and selective generation.
  • Knowledge graphs: Working on graph data management and knowledge discovery over one of the world's largest grocery catalogs, and integrating structured knowledge with LLM-based reasoning and natural language interfaces.
  • Sequence modeling: Building temporal models for user behavior prediction.

ABOUT YOU
Minimum Qualifications:
  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, Golang) and algorithmic skills.
  • Solid foundations in machine learning, algorithms, or optimization
  • Curious, self-motivated, and comfortable working on open-ended problems

Preferred Qualifications:
  • Ph.D. student at a top tier university in the United States
  • Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM)
  • Prior industry or research internship in machine learning or AI
  • Interest and experience in translating research ideas into scalable production systems

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. Please read more about our benefits offeringshere.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$50-$50 USD
WA
$47.50-$47.50 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$44-$44 USD
All other states
$42-$42 USD

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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