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Physics Informed Machine Learning Jobs in Manchester, NH

SciAps Inc.

Applications Scientist

Andover, MA · On-site

$70K - $120K/yr

Proficiency with chemometric modeling and/or machine learning algorithms for spectroscopy ... Required: BS Physics, Geology, Chemistry, or other hard science Travel: * Up to 25% Travel required ...

DEKA

Robotics Control Systems Engineer

Hudson, NH · On-site

... machine learning algorithm deployment. (5%) * Create requirements for robot systems and perform ... physics simulators such as MATLAB/Simulink, or Gazebo in robotics development environments; * 2 ...

SAU 39

Physical Science / Physics Teacher

Amherst, NH · On-site

... informed, thoughtful global citizens. The chemistry teacher is also responsible for working with ... Promote the learning and growth of all students by/through * providing high-quality and coherent ...

Aras

Senior HR Data Analyst

Andover, MA · On-site

$80K - $90K/yr

... informed, strategic decisions that support organizational growth. Your expertise will drive ... Lead the adoption of advanced analytics, AI, and machine learning to uncover insights and support ...

Aras

Senior HR Data Analyst

Andover, MA

$80K - $90K/yr

... informed, strategic decisions that support organizational growth. Your expertise will drive ... Lead the adoption of advanced analytics, AI, and machine learning to uncover insights and support ...

BAE Systems

Program Mgr I

Merrimack, NH · On-site

$130K - $221K/yr

Our research drives advances in artificial intelligence, machine learning, and statistical signal ... Ability to lead with authority and make informed decision to guide programs to meet objectives.

Comcast

Sr. Analyst, Enterprise Analytics

Manchester, NH · On-site

$98K - $162K/yr

The role is key for driving data-informed business strategies and decisions. Responsibilities ... and machine learning * Developing statistical and mathematical solutions to complex business ...

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Physics Informed Machine Learning information

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

As of Jul 9, 2026, the average hourly pay for physics informed machine learning in Manchester, NH is $19.98, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $25.38 per hour, depending on experience, location, and employer.

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 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 is a Physics Informed Machine Learning job?

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 popular job titles related to Physics Informed Machine Learning jobs in Manchester, NH? For Physics Informed Machine Learning jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Manchester, NH look for? The top searched job categories for Physics Informed Machine Learning jobs in Manchester, NH are:
Physics Informed Machine Learning jobs near you
Director, GenAI Technology

Director, GenAI Technology

Fidelity Investments

Merrimack, NH • On-site

$126K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description

Job Description:Note: Fidelity will not provide immigration sponsorship for this positionThe RoleThis is an individual contributor applied GenAI engineer/data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related projects, application building and data science. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.

You will have:

PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience.

Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding

Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools

Experience taking an application from research to production and realizing measurable value from it to the team or firm

Ability to work on and drive progress for multiple projects at the same time

Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions

Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results

Excellent planning, project management, leadership, and research skills

Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations

Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges

The Team

We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $126,000-255,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Data Analytics and Insights

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