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Entrylevel Machine Learning Engineer Jobs in Spencer, MA

Synopsys

Staff R&D Engineer-17064

Marlborough, MA · On-site +1

$120K - $180K/yr

Date posted 04/22/2026 Category Engineering Hire Type Employee Job ID 17064 Base Salary Range ... Exploring distributed computing and machine learning for EDA The Impact You Will Have * Raising the ...

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA

$65K - $75K/yr

Substantial training in and knowledge of machine learning techniques and strong programming skills. * Effective communication in English, both orally and in writing, and ability to interact with ...

Worcester Polytech

Temporary Researcher

Worcester, MA

$25/hr

Provide a strong mobile and wound server programming background required to produce a robust wound ... machine learning models that combine visual images and thermal images to detect infection more ...

DataAnnotation

DevOps Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Software Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

IPG Photonics

Intern, Engineering

Marlborough, MA · On-site

$17.25 - $22.50/hr

The Engineering Intern will support the team by working with SBO crystal imaging data, including annotating images and assisting with machine learning (ML) dataset preparation and training workflows.

DataAnnotation

Frontend Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Mobile Software Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Backend Software Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Staff Software Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Frontend Software Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Senior Software Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Quality Assurance Engineer

Worcester, MA · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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All JobsEntrylevel Machine Learning Engineer JobsEntrylevel Machine Learning Engineer Jobs in Spencer, MA

Entrylevel Machine Learning Engineer information

See Spencer, MA salary details

$32.5K

$132.8K

$199.6K

How much do entrylevel machine learning engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for entrylevel machine learning engineer in Spencer, MA is $132,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $159,900.00 per year, depending on experience, location, and employer.

Can I get into AI with no experience?

Entry-level machine learning engineer roles typically require some background in programming, mathematics, and data analysis, but many employers are open to candidates with foundational skills and a willingness to learn. Gaining experience through online courses, projects, and certifications in tools like Python and machine learning frameworks can help you qualify for such positions. Building a portfolio and understanding core concepts can improve your chances of entering the AI field without prior professional experience.

What engineers make $500,000?

Highly experienced senior engineers in fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with bonuses, stock options, or in high-cost-of-living areas. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or specialized expertise in high-demand technologies.

What is the difference between Entrylevel Machine Learning Engineer vs Data Scientist?

AspectEntrylevel Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Math, or related; some knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.

Can I learn ML in 3 months?

As an entry-level machine learning engineer, gaining foundational knowledge in ML within three months is possible with intensive study, focusing on programming (Python), algorithms, and tools like scikit-learn or TensorFlow. However, developing deep expertise and practical experience typically requires longer, ongoing learning and project work.

Which 5 jobs will survive AI?

For entry-level machine learning engineers, roles that require complex problem-solving, creativity, and human judgment—such as data science, AI ethics, research scientist, AI product management, and specialized software development—are likely to persist despite AI advancements. These positions often involve designing, overseeing, and interpreting AI systems, which require deep domain knowledge and critical thinking that AI tools currently cannot fully replicate.
What cities near Spencer, MA are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Spencer, MA with the most Entrylevel Machine Learning Engineer job openings:
Entrylevel Machine Learning Engineer jobs near you
Staff R&D Engineer-17064

Staff R&D Engineer-17064

Synopsys

Marlborough, MA • On-site, Remote

$120K - $180K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Date posted 04/22/2026 Category Engineering Hire Type Employee Job ID 17064 Base Salary Range $120000-$180000 Remote Eligible No Date Posted 04/22/2026 We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You thrive on complex code and real-world results. You see C++ as your toolkit for solving hard, meaningful problems, and you're comfortable getting deep into legacy code to make things faster, smarter, and more reliable. You don't wait for perfect specs, you ask questions, test ideas, and bring others along. You like building things that last, from new algorithms to better formal verification tools. Learning new tech is second nature and you never shy away from a tough debugging session.

What You'll Be Doing
  • Developing and improving algorithms in C++ for Formality
  • Researching and implementing new solver techniques like SAT and BDDs
  • Debugging, testing, and refining the Formality codebase
  • Collaborating on formal verification strategies with your team
  • Exploring distributed computing and machine learning for EDA
The Impact You Will Have
  • Raising the bar for Formality's speed and accuracy
  • Enabling customers to verify complex chip designs with confidence
  • Turning research into tools that solve real design challenges
  • Improving team knowledge and code quality through collaboration
What You'll Need
  • PhD, MS, or ME in CS or EE with strong programming skills
  • Strong C++ skills and experience in large codebases
  • Solid grasp of algorithms, data structures, and heuristics
  • Experience with formal verification or solver algorithms (SAT, BDDs)
  • Distributed computing or ML experience is a bonus
Who You Are
  • You get to the root of technical problems, not just the symptoms
  • You explain complex ideas clearly, in writing and conversation
  • You're proactive about learning and sharing knowledge
  • You ask for clarity and push for better solutions
  • You work well solo and with others
The Team You'll Be Part Of

As a member of the Formality R&D team, you will work with other enthusiastic and creative engineers. You will contribute to a growing tool where you can expand your knowledge and skills. Things you'll learn include formal verification strategies, distributed computing, machine learning, and more. Our team is dedicated to pushing the boundaries of what is possible and delivering cutting-edge technology to our customers.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

#LI-DP1

#TPG

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.

Synopsys logo

About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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