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Physics Based Machine Learning Jobs in Secaucus, NJ

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... based approach. What You'll Do * Contribute to the design, build, evaluation, shipping, and ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... based approach. What You'll Do * Contribute to the design, build, evaluation, shipping, and ...

Reddit

Machine Learning Engineer

New York, NY · On-site +1

$223K - $260K/yr

Train, evaluate, test, and deploy machine learning models. Part-time telecommuting is an option ... S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

... Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

About the Role : We are in search of an exceptional Machine Learning Engineer to join our ... Excel and Typing Test We offer a competitive salary and benefits based on ability level, including:

Reddit

Machine Learning Engineer

New York, NY · On-site

$223K - $260K/yr

Train, evaluate, test, and deploy machine learning models. Part-time telecommuting is an option ... S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

While conversational and retrieval-based systems are an important part of our platform, this role ... As a Senior Machine Learning Engineer, you will also help influence technical direction by sharing ...

Varsity Tutors

Machine Learning Tutor

Westfield, 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

Paramus, 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

Summit, 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

Hoboken, 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

Jersey City, 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

Mount Vernon, 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

Elizabeth, 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 ...

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

As of Jun 25, 2026, the average hourly pay for physics based machine learning in Secaucus, NJ is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $12.69 and $25.91 per hour, depending on experience, location, and employer.

What types of projects or problems does a Physics Based Machine Learning professional typically work on?

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 job?

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 the Physics Based Machine Learning position, and why are they important?

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

Machine Learning Engineer

Spotify

New York, NY • On-site, Remote

$170K - $212K/yr

Other

Medical, Retirement, PTO

Posted 16 days ago

Job description

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it's a DIY artist or an industry-facing partner.
As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You'll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You'll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.
What You'll Do
  • Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify's promotional performance with hands-on ML development
  • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
  • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
  • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
  • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.

Who You Are
  • You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.
  • You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.
  • You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.
  • You have experience in optimizing machine learning models for production use cases
  • You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
  • You have some exposure to causal ML models, including things like counterfactuals.
  • You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
The United States base range for this position is $170,000 - $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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