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Physics Informed Machine Learning Jobs in Waltham, MA

Power Factors

Senior Data Scientist - BESS

Boston, MA · On-site

You are highly proficient in Python, statistical modeling, machine learning, and AI, with a track record of interpretable, physics-informed, and operationally robust approaches. You are comfortable ...

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Physics Informed Machine Learning information

See Waltham, MA salary details

$5

$21

$27

How much do physics informed machine learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for physics informed machine learning in Waltham, MA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $27.50 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Waltham, MA?

For Physics Informed Machine Learning jobs in Waltham, MA, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Waltham, MA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Waltham, MA are:

What cities near Waltham, MA are hiring for Physics Informed Machine Learning jobs?

Cities near Waltham, MA with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Waltham, MA as of August 2026, with employment types broken down into 6% Internship, 39% Full Time, 49% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,021 per year, or $21.6 per hour.

Machine Learning Engineer 2-Sensors and Communication

Draper

Cambridge, MA • On-site, Remote

$75K - $156K/yr

Full-time

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

Job description

Overview:

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

Job Description Summary:

The Machine Learning Engineer 2 designs and implements machine learning (ML), digital signal processing, and data science tools to enhance sensor sensitivity and performance. They apply these skills to a diverse, range of hardware projects spanning multiple sensing modalities.

Job Description:

Duties/Responsibilities
Designs and develops AI models to meet project requirements with some guidance for senior team members.
Analyzes and improves AI model performance with some assistance as needed.
Applies ML and deep learning technologies to give computers the capability to visualize, learn, and respond to complex situations.
Collaborates across departments and with customers to define requirements and understand business problems.
Reliably performs independent and team based research with a demonstrated ability to develop innovative solutions to problems.
Collaborates across organizational boundaries and outside area of expertise to achieve goals. Delivers on commitments and clearly communicates any challenges.
Initiates/participates in frequent, pertinent communication relating to their programs and tasks. Strives to be inclusive in communication.
Recognizes when process/practice improvements should be made and works to bring them forward
Performs other duties as assigned.
Skills/Abilities
Excellent analytical, mathematical, and problem-solving skills.
Strong ML/AI software development skills (Python, MATLAB, R, C++, JAVA) including software best practices like version control (git).
Team player.
Excellent organizational skills and attention to detail.
Excellent time management skills with the proven ability to meet deadlines and prioritize tasks.
Excellent verbal and written communication skills.
Education
Bachelor's Degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field is required. Master's degree preferred.
Experience
3-5 years machine learning or artificial intelligence or related experience is required.

Additional Job Description:

Applicants selected for this position will be required to obtain and maintain a US government security clearance.

Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.

Job Location - City:

Cambridge

Job Location - State:

Massachusetts

Job Location - Postal Code:

02139-3563

The US base salary range for this full-time position is

$75,000.00 - $156,000.00

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.

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