2

Entry Level Machine Learning Engineer Jobs in Worcester, MA

Research, design, and prototype machine learning models-including neural networks and reinforcement ... D. in Electrical Engineering or equivalent Initial expertise in transmitter system-level concepts ...

2027 PhD Research Engineering Intern/Co-op

Boxborough, MA · On-site

$16.25 - $21/hr

... machine learning) * FPGA or ASIC-based RTL design and verification, FPGA deployment and programming ... FPGA based acceleration of cloud applications, programmable data plane, machine learning training ...

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 ...

R&D Engineer (FT)

Natick, MA · On-site

$85K - $110K/yr

We are seeking an R&D Engineer who is passionate about designing algorithms that translate multi ... machine learning (pytorch, scikit-learn) and numerical methods concepts and frameworks. • ...

Machine learning: supervised and unsupervised learning, clustering, and classification; * Applied ... Engineering: controls, estimation theory, and digital signal processing. * Eligible to obtain and ...

Machine Operator Join a leading developer and manufacturer of engineered polymeric solutions for ... leaders have grown from entry-level positions to leadership roles. We offer a stable work ...

New

Showing results 41-60

Entry Level Machine Learning Engineer information

See Worcester, MA salary details

$29.9K

$69.2K

$117.7K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level machine learning engineer in Worcester, MA is $69,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $78,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Worcester, MA?

The most popular types of Machine Learning Engineer jobs in Worcester, MA are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Worcester, MA?

For Entry Level Machine Learning Engineer jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Worcester, MA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Worcester, MA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,211 per year, or $33.3 per hour.

Cellular RF Transmitter Systems Engineer

Apple Inc.

Waltham, MA • On-site

$150 - $200/hr

Other

Medical, Dental, Retirement

Posted 3 days ago

New


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Cellular RF Transmitter Systems Engineer

Waltham, Massachusetts, United States Hardware

At Apple, we work every single day to craft products that enrich people’s lives. The people here at Apple don’t just create products — they create the kind of wonder that revolutionizes entire industries. We invite you to join our dynamic group, for the unique and rewarding opportunity to contribute to upcoming products that will delight and inspire millions of Apple’s customers every day.Are you interested in doing work that challenges you, expands your thinking, provides innovative solutions for future problems while driving your growth as recognized technical leader in the cellular industry? Apple's RF Transmitter Systems Engineering team is looking for a passionate, talented individual who is eager to break technical boundaries and to change the way of doing things. Our elite team is shaping the mobile market with disruptive RF innovations while taking full responsibility for execution and commitments to schedule and quality. Join our team of leading experts in cellular RF industry and deliver differentiating transmit architectures and solutions for Apple’s wireless products that create amazing value for our customers!

Description

In this role, you will be part of an industry-leading RF Transmitter Systems Engineering team. You will work closely with other architecture- and systems engineering teams, RF design teams and SW teams to assess, specify and drive transmitter concepts with focus on leading-edge performance and uncompromised quality as baseline for differentiating products.

Responsibilities
  • Translate system-level and performance requirements into requirements for the TX line-up and TX features, including RF algorithm specifications for RFICs and system firmware.
  • Understand and specify RF algorithms (e.g. power control, calibration) and define the RF control infrastructure, including compute resources, interfaces, memory and timing constraints.
  • Research, design, and prototype machine learning models—including neural networks and reinforcement learning—for RF transmitter applications such as power control, calibration, and digital pre-distortion.
  • Develop and maintain simulation environments in Python or MATLAB to model RF systems and test AI algorithms.
  • Analyze simulation data to evaluate model performance, identify trade-offs, and propose improvements.
Minimum Qualifications
  • Minimum requirement of a bachelors degree
  • Strong analytical skills and the ability to collaborate and communicate across global teams.
  • Knowledge of cellular radio/3GPP standards (GSM, UMTS, LTE, LTE-A, 5G NR), including RF aspects as well as system use cases and TX waveforms.
  • Familiarity with RF systems and transceiver architecture, including lineup design and component-level trade-offs (e.g. gain, linearity, noise, power, thermal).
Preferred Qualifications
  • Ph.D. in Electrical Engineering or equivalent
  • Initial expertise in transmitter system-level concepts and control procedures like power control, digital predistortion, envelope tracking.
  • Background in digital signal processing.
  • Understanding of SoC integration constraints and multi-chip RF architectures.
  • Solid theoretical grounding and hands‑on experience with classical machine learning techniques (e.g., clustering, dimensionality reduction) applied to regression and classification problems.
  • Solid theoretical understanding and hands‑on experience with neural networks for regression and classification problems.
  • Practical experience across supervised, unsupervised, and reinforcement learning.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $116,400 and $203,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

#J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976