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System Engineer Phd Jobs in Wisconsin (NOW HIRING)

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

V-model activities such as system requirements definition, system design, system verification and ... Master's or PhD degree preferred. * 8+ years of engineering experience preferred, preferably in the ...

V-model activities such as system requirements definition, system design, system verification and ... Master's or PhD degree preferred. * 8+ years of engineering experience preferred, preferably in the ...

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System Engineer Phd information

See Wisconsin salary details

$54K

$128.4K

$168.6K

How much do system engineer phd jobs pay per year?

As of Jul 15, 2026, the average yearly pay for system engineer phd in Wisconsin is $128,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $158,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced degrees, or possessing rare expertise in areas like machine learning or systems architecture.

Is a PhD worth it as an engineer?

A PhD can enhance a system engineer's expertise, especially in research, development, and specialized technical roles. It may lead to higher-level positions, increased salary potential, and opportunities in academia or advanced R&D, but it also requires significant time and effort with no guaranteed immediate job advantage. The decision depends on career goals and industry demands.

What are common challenges System Engineer PhDs face when transitioning from academia to industry roles?

System Engineer PhDs often encounter challenges when shifting from academic research to industry, such as adapting to faster project timelines and working within cross-functional teams. In industry, there is typically a greater emphasis on practical application and collaboration, rather than theoretical exploration. Adjusting to structured workflows and aligning technical solutions with business objectives are also key transitions. However, this environment offers opportunities to see the tangible impact of your work and to advance into senior technical or leadership roles.

What is the difference between System Engineer Phd vs Network Engineer?

AspectSystem Engineer PhdNetwork Engineer
Required CredentialsPhd in Engineering or related field, possibly with certifications like Cisco or CompTIAAssociate's or Bachelor's in Computer Science or related, with certifications like Cisco CCNA or CCNP
Work EnvironmentResearch labs, R&D departments, or advanced technical teams in tech companiesNetwork operations centers, IT departments, or telecommunications firms
Employer & Industry UsageResearch institutions, tech companies, or organizations requiring advanced system designTelecom providers, enterprise IT, or service providers

The main difference between a System Engineer Phd and a Network Engineer lies in their focus and qualifications. System Engineers with a Phd typically engage in advanced system design, research, and development, often in research or high-tech environments. Network Engineers focus on designing, implementing, and maintaining network infrastructure, usually with industry certifications. Both roles are essential in tech industries but serve different technical needs and expertise levels.

What engineers make $200,000 a year?

Senior system engineers, especially those with advanced skills in cloud computing, cybersecurity, or network architecture, can earn $200,000 or more annually. Achieving this level often requires extensive experience, specialized certifications, and working in high-demand industries or senior leadership roles.

What are the key skills and qualifications needed to thrive as a System Engineer PhD, and why are they important?

To thrive as a System Engineer PhD, you need advanced knowledge of systems engineering principles, research methodologies, and typically a doctorate in engineering or a related field. Familiarity with modeling and simulation tools (e.g., MATLAB, Simulink), systems engineering software (e.g., IBM DOORS), and relevant industry certifications are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you lead complex projects and collaborate with multidisciplinary teams. These skills and qualifications are essential for driving innovation, ensuring robust system design, and successfully managing sophisticated engineering challenges.

What are System Engineer PhDs?

System Engineer PhDs are professionals who have earned a doctoral degree (PhD) in systems engineering or a closely related field. They specialize in designing, analyzing, and managing complex systems across various industries, such as aerospace, defense, IT, and manufacturing. Their advanced education enables them to conduct research, develop innovative solutions, and lead multidisciplinary teams to tackle large-scale engineering challenges. System Engineer PhDs often work in academia, research institutions, or high-level industry roles, focusing on optimizing system processes and integration.

What engineers make $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, systems engineering, or engineering management can earn $500,000 or more annually, especially with bonuses, stock options, or in high-demand industries like technology or aerospace. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or ownership of critical projects.
What are popular job titles related to System Engineer Phd jobs in Wisconsin? For System Engineer Phd jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for System Engineer Phd jobs? Cities in Wisconsin with the most System Engineer Phd job openings:
Machine Learning Engineer (PhD Intern)

Machine Learning Engineer (PhD Intern)

Instacart

Menomonie, WI • On-site

Other

Re-posted 23 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

29th of 63 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

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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