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Ml Research Jobs (NOW HIRING)

Lead applied research initiatives in generative AI and model efficiency * Prototype and implement novel ML techniques for largescale inference * Design experiments, analyze results, and translate ...

Lead applied research initiatives in generative AI and model efficiency * Prototype and implement novel ML techniques for largescale inference * Design experiments, analyze results, and translate ...

SEMRON is redefining what's possible in AI hardware, and they are seeking an ML Research Scientist to design algorithms and quantization schemes for efficient inference on their analog in-memory ...

They are seeking a ML Research Scientist to design and build the autonomy pipeline, including model architectures and robotic policies, while collaborating with software engineers on inference and ...

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

ML Research Engineer

Manhattan, NY · On-site

$160 - $200/hr

In this role, you will design, develop, and deploy scalable ML software systems to address large‑scale challenges in healthcare. You will work closely with our software engineers, research ...

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of ...

$140 - $190/hr

Jobs / Senior ML Research Scientist -- Remote Healthcare AI Impact Senior ML Research Scientist -- Remote Healthcare AI Impact Full-time About the Role Transformcap seeks a Staff Machine Learning ...

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

They are seeking an ML Research Engineer to develop software correctness feedback systems that improve program analysis and formal reasoning capabilities in AI models. Responsibilities : • Post ...

... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

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Ml Research information

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$26K

$108.7K

$185.5K

How much do ml research jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ml research in the United States is $108,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is an ML researcher?

ML Researchers, or Machine Learning Researchers, are professionals who study and develop new algorithms and models in the field of machine learning. They work on advancing the theoretical foundations of machine learning and applying these concepts to solve real-world problems. Their work often involves designing experiments, analyzing data, publishing academic papers, and collaborating with other scientists and engineers. ML Researchers play a crucial role in pushing the boundaries of what artificial intelligence and machine learning can achieve.

What are some common challenges faced by professionals in ML research roles and how can they be addressed?

ML Research professionals often encounter challenges such as working with limited or noisy datasets, ensuring reproducibility of experiments, and keeping up with rapid advancements in the field. Collaboration with cross-functional teams, such as data engineers and domain experts, is essential to address data quality issues and validate results. Staying updated through research papers, conferences, and continuous learning helps tackle the evolving technical landscape. Building strong documentation and version control practices also ensures reproducibility and effective teamwork.

What are the key skills and qualifications needed to thrive as an ML researcher, and why are they important?

To thrive as an ML Researcher, you need strong foundations in mathematics, statistics, programming (often Python), and a graduate degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems, and experience with scientific publishing or conference presentations are typically required. Creativity, critical thinking, and effective communication are essential soft skills for generating novel ideas and collaborating within interdisciplinary teams. These skills and qualities are crucial for developing innovative solutions, advancing the field, and successfully translating research into impactful applications.

What is the difference between Ml Research vs Data Scientist?

AspectML ResearchData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech firms, finance, healthcare, e-commerce
Common Search & ComparisonFocuses on developing new algorithms and modelsFocuses on applying data analysis to solve business problems

ML Research and Data Scientist roles share overlapping skills but differ mainly in focus. ML Researchers primarily develop new algorithms and conduct theoretical work, often in research settings. Data Scientists apply existing models to analyze data and generate insights for business decisions. Both roles require strong technical skills, but ML Research emphasizes innovation and experimentation, while Data Science emphasizes practical application and communication of findings.

How to become a machine learning researcher?

To become a machine learning researcher, typically a strong background in computer science, mathematics, or related fields is required, often demonstrated through a relevant bachelor's degree followed by a master's or Ph.D. focusing on machine learning, artificial intelligence, or data science. Developing skills in programming languages like Python, understanding algorithms, and working with tools such as TensorFlow or PyTorch are essential. Gaining research experience through projects, publications, or internships can also improve prospects in this field.

Is ML research a high paying job?

ML research positions are generally well-paid, especially at senior levels or in industry-leading companies, due to the specialized skills and advanced knowledge required. Salaries can vary based on experience, education, location, and the complexity of projects, but they tend to be higher than average for tech roles.
More about Ml Research jobs

What cities are hiring for Ml Research jobs?

Cities with the most Ml Research job openings:

What are the most commonly searched types of Ml Research jobs?

The most popular types of Ml Research jobs are:

What states have the most Ml Research jobs?

States with the most job openings for Ml Research jobs include:

Infographic showing various Ml Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $108,688 per year, or $52.3 per hour.

$190/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Machine Learning Research Scientist
Location: Hybrid - SOLU,Seattle, WA)

Compensation: $190-230k base comp, + start up equity

Our Seattle based client, a fastgrowing earlystage team, is seeking a Machine Learning Research Scientist to drive highimpact research at the core of a nextgeneration AI inference platform. If you're passionate about advancing efficiency, generative models, and realworld ML systems, this role offers rare depth and ownership. If you're excited to push the boundaries of efficient AI and shape the future of inference, we'd love to connect.

What You'll Do

  • Lead applied research initiatives in generative AI and model efficiency
  • Prototype and implement novel ML techniques for largescale inference
  • Design experiments, analyze results, and translate findings into productionready solutions
  • Collaborate with ML, systems, and software engineers to bring research to life

What You Bring

  • PhD in CS, CE, or related field
  • 3+ years leading ML research with publications in top conferences/journals
  • Experience with LLMs, VLMs, or generative model architectures
  • Strong Python or C++ skills and deep experience with PyTorch, TensorFlow, or JAX
  • Ability to work across research and engineering in a fastmoving environment

Bonus Skills

  • Research in model efficiency, compression, or optimization
  • Experience with profiling, performance analysis, or cloudscale ML systems
  • Familiarity with Docker, Kubernetes, or cloud platforms

Why This Role

  • Foundational impact on a nextgen AI platform
  • Highly collaborative, interdisciplinary team
  • Competitive compensation + meaningful earlystage equity
  • Comprehensive benefits, FTO, parental leave, wellness + commuter perks

Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. This position is open until filled.