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Contract Apple Machine Learning Engineer Jobs in Dallas, OR

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... maintain machine learning models and AI services used in production environments • Design and ... contracts and ensure data quality and consistency across pipelines • Ensure AI solutions meet ...

Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods. * Collaborate with process integration, defect engineering, and ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Build and maintain machine learning models and AI services used in production environments * Design ... Support enterprise data governance by partnering with data owners to define data contracts and ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Build and maintain machine learning models and AI services used in production environments * Design ... Support enterprise data governance by partnering with data owners to define data contracts and ...

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

Build and maintain machine learning models and AI services used in production environments * Design ... Support enterprise data governance by partnering with data owners to define data contracts and ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. Familiarity with game engines such as ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. * Familiarity with game engines such as ...

Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... machine learning or artificial intelligence. • Familiarity with game engines such as Unreal ...

Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

... machine learning techniques to enhance process stability and enable continuous improvement ... Minimum Qualifications - Bachelor's degree in Materials Science, Mechanical Engineering, Chemical ...

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Showing results 1-20

Contract Apple Machine Learning Engineer information

See Dallas, OR salary details

$31.6K

$129K

$193.8K

How much do contract apple machine learning engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for contract apple machine learning engineer in Dallas, OR is $128,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $155,300.00 per year, depending on experience, location, and employer.

What is a contract Apple machine learning engineer?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.

What are the key skills and qualifications needed to thrive as a contract Apple machine learning engineer?

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

What are the common challenges faced by contract Apple machine learning engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.
Infographic showing various Contract Apple Machine Learning Engineer job openings in Dallas, OR as of June 2026, with employment types broken down into 67% Full Time, 18% Part Time, 11% Contract, and 4% Nights. Highlights an 55% Physical, and 45% Remote job distribution, with an average salary of $128,999 per year, or $62 per hour.

Machine Learning Engineer (PhD Intern)

Salem, OR


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 7 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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