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Contract Google Machine Learning Engineer Jobs in Leola, PA

Machine Learning Tutor

Reading, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Machine vision, Python, data analytics, AI or machine learning * OPC UA, MQTT, IIoT, historians ... Controls Engineer, Automation Engineer, Mechatronics Engineer, Electrical Controls Engineer, R&D ...

Data Engineer

Lititz, PA · On-site

$106K - $127K/yr

Partner with the Integration team and Data Architect to define data contracts, APIs, event patterns ... Experience enabling machine learning or AI solutions through feature engineering, model-ready ...

Data Engineer

Lititz, PA · On-site

$106K - $127K/yr

Partner with the Integration team and Data Architect to define data contracts, APIs, event patterns ... Experience enabling machine learning or AI solutions through feature engineering, model-ready ...

Be Seen First

Machine vision, Python, data analytics, AI or machine learning * OPC UA, MQTT, IIoT, historians ... Controls Engineer, Automation Engineer, Mechatronics Engineer, Electrical Controls Engineer, R&D ...

Be Seen First

Machine vision, Python, data analytics, AI or machine learning * OPC UA, MQTT, IIoT, historians ... Controls Engineer, Automation Engineer, Mechatronics Engineer, Electrical Controls Engineer, R&D ...

Data Engineer Job

Lancaster, PA · On-site

$125K - $145K/yr

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ... Experience supporting machine learning or advanced analytics pipelines. * Experience with LLMs and ...

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ... Experience supporting machine learning or advanced analytics pipelines. * Experience with LLMs and ...

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Proficiency in SQL and at least one programming language (Python, Scala, or Java). * Experience ... Experience supporting machine learning or advanced analytics pipelines. * Experience with LLMs and ...

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ... Experience supporting machine learning or advanced analytics pipelines. * Experience with LLMs and ...

Data Science Tutor

Reading, PA · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

CNC Programmer

Blandon, PA · On-site

$24.25 - $33/hr

Use machine simulation software to ensure collision free code * Aid in quoting new work, including ... A place where continuous learning is encouraged * Collaborative and team-oriented * Fast-paced and ...

Machine Operator

Robesonia, PA · On-site

$15.50 - $18.25/hr

Knowledge of G-Coding programming, desired. * Ability to read complex blueprints and understand GD ... Learn and grow with us through our Learning and Development training programs * We champion ...

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Contract Google Machine Learning Engineer information

See Leola, PA salary details

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How much do contract google machine learning engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for contract google machine learning engineer in Leola, PA is $50.02, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $51.88 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Leola, PA?

The most popular types of Google Machine Learning Engineer jobs in Leola, PA are:

What cities near Leola, PA are hiring for Contract Google Machine Learning Engineer jobs?

Cities near Leola, PA with the most Contract Google Machine Learning Engineer job openings:

Machine Learning Engineer (PhD Intern)

Reading, PA


Instacart
Technology, Communication and Media • 10K+ employees

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

42nd of 64 rated delivery companies

People enjoy working here

Recommended by students

Recommended by parents


Full-time

Re-posted 8 days ago


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.


Instacart logo

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


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

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