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Physics Based Machine Learning Jobs in Renton, WA

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Visa Hunt

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

This role is based in our Bellevue, WA, with in-person attendance expected at least three days per ... What you'll do As a Machine Learning Engineer on the AI Research and Development team, the primary ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

This role is based in our Bellevue, WA, with in-person attendance expected at least three days per ... What you'll do As a Machine Learning Engineer on the AI Research and Development team, the primary ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

This role is based in our Bellevue, WA, with in-person attendance expected at least three days per ... Develop and implement scalable machine learning models focusing on advanced ranking and ...

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Company Description Sonsoft , Inc. is a USA based corporation duly organized under the laws of the ... Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence.

Unchain Data

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

This role is based in our Bellevue, WA, with in‑person attendance expected at least three days ... What you'll do As a Machine Learning Engineer on the AI Research and Development team, the primary ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... We determine the base salary range for this role based on your primary work location: Mountain View ...

Expedia

Machine Learning Scientist III

Seattle, WA

PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics). * 3+ ... Starting pay for this role will vary based on multiple factors, including location, available ...

Adobe

Senior Machine Learning Engineer

Seattle, WA

$172K - $306K/yr

Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at ... A degree in computer science, statistics, operations research, applied physics, engineering, or a ...

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

As of Aug 20, 2026, the average hourly pay for physics based machine learning in Renton, WA is $22.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $28.65 per hour, depending on experience, location, and employer.

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 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 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 Renton, WA?

For Physics Based Machine Learning jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Physics Based Machine Learning jobs in Renton, WA look for?

The top searched job categories for Physics Based Machine Learning jobs in Renton, WA are:

Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in Renton, WA as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,940 per year, or $22.6 per hour.

Machine Learning Manager

Hive

Seattle, WA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Manager
In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production.
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and labeling team in delivering model improvements

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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