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Physics Based Machine Learning Jobs in Queens, NY

Meta

Product Manager, Machine Learning

New York, NY

$173K/yr

... Physics, Applied Sciences, or a related field and 2+ years of experience in the following ... Experience in analyzing complex, large-scale data sets and making decisions based on data

Meta

Computer Vision Engineer

New York, NY

$154K/yr

Experience with computer graphics, and physics-based/geometric modeling * Working knowledge of imaging systems and optics simulation * Direct background in machine learning, deep learning, neural ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Final base salary for this role will be based on the individual's geographic location, as well as ...

Varsity Tutors

Machine Learning Tutor

Paterson, NJ · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Hempstead, NY · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Glen Cove, NY · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

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

As of Aug 6, 2026, the average hourly pay for physics based machine learning in Queens, NY is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $26.59 per hour, depending on experience, location, and employer.

What does a physics based machine learning professional do?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a physics based machine learning?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in physics based machine learning?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Queens, NY? For Physics Based Machine Learning jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Queens, NY look for? The top searched job categories for Physics Based Machine Learning jobs in Queens, NY are:
What cities near Queens, NY are hiring for Physics Based Machine Learning jobs? Cities near Queens, NY with the most Physics Based Machine Learning job openings:
Physics Based Machine Learning jobs near you

Quantitative Researcher: Machine Learning

Two Sigma Investments, LP

New York, NY • On-site

$165K - $325K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Quantitative Researcher: Machine Learning
Location
NY New York
United States
Business
Investment Management
Function
Quantitative Research
Experience Level
Experienced
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Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
We are looking for a quantitative researcher with an excellent background in statistical techniques, machine learning, and data analysis. In this role, you will navigate the full research process and apply a rigorous scientific approach to design sophisticated investment models for trading a variety of global markets.
You will take on the following responsibilities:
  • Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave
  • Apply machine learning to a vast array of datasets
  • Create and test complex investment ideas and partner with our engineers to test your hypotheses
  • Join our reading circles to stay up to date on the latest research papers in your field
  • Attend academic seminars to learn from thought leaders from top universities
  • Share insights from conferences focused on statistics, machine learning, and data science

You should possess the following qualifications:
  • Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor's to doctorate)
  • Intermediate skills in at least one programming language (like C, C++, Java, or Python)
  • Understanding of the ins and outs of machine learning algorithms-and can tweak them as needed
  • Experience with applied machine learning to real-world datasets
  • Published your work in journals and/or have presented at conferences

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $325,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.

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