ZipRecruiter

Log In

1

Ml Researcher Jobs (NOW HIRING)

Rivet Industries

ML Researcher

San Jose, CA · On-site

$150K - $290K/yr

C. 1324b(a)(3). Summary We are seeking a talented ML Researcher / Research Engineer to advance our computer vision and sensor fusion capabilities. This role combines cutting-edge research with ...

Kaption.co

Applied ML Researcher

Palo Alto, CA · On-site

They are seeking an Applied ML Researcher to explore and extend the latest advances in video generation, collaborating closely with engineers and product teams to turn generative models into ...

Darwin

Applied ML Researcher

Palo Alto, CA · On-site

They are seeking an Applied ML Researcher to explore and extend advancements in video generation, collaborating closely with engineers and product teams to create valuable user experiences.

NEC Labs America

ML - Researcher

Princeton, NJ · On-site

$150K - $180K/yr

The research in our department has been published in premier venues and has won numerous awards, including the 2010 IEEE Neural Networks Pioneer Award, the 2012 IEEE Frank Rosenblatt Award, the 2012 ...

NEC Labs

ML - Researcher

Princeton, NJ

The Machine Learning Department, NEC Laboratories America has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsData Scientist JobsMl Researcher Jobs

Ml Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do ml researcher jobs pay per year?

As of Sep 1, 2026, the average yearly pay for ml researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an ML researcher?

ML Researchers, or Machine Learning Researchers, are professionals who develop new algorithms, models, and techniques in the field of machine learning. They work on advancing the theoretical foundations of AI, as well as creating practical applications for industries such as healthcare, finance, and technology. Their work often involves designing experiments, analyzing large datasets, and publishing findings in academic journals or conferences. ML Researchers collaborate with engineers and data scientists to move innovations from theory to real-world solutions.

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

To thrive as a Machine Learning Researcher, you need a solid background in mathematics, statistics, programming (typically Python), and a relevant advanced degree such as a Master's or Ph.D. in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and experience with large datasets and cloud computing platforms are commonly required. Strong problem-solving abilities, creativity, and effective communication are vital soft skills for innovating and sharing complex ideas. These skills and qualities enable researchers to advance the state of the art, collaborate effectively, and translate research into practical applications.

What are some common challenges ML researchers face when transitioning from academia to industry roles?

ML Researchers often find that transitioning from academia to industry involves adjusting to faster project timelines, a greater focus on practical applications, and more collaborative, cross-functional teams. Unlike academic research, industry roles typically require aligning research objectives with business goals and demonstrating clear value through measurable outcomes. Additionally, researchers may need to adapt to using large-scale production data, deploying models, and maintaining solutions in real-world environments. Embracing agile methodologies and effective communication with stakeholders from diverse backgrounds are key to overcoming these challenges.

What is the difference between Ml Researcher vs Data Scientist?

AspectML ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, academiaCorporate sectors, finance, healthcare, marketing
Common Search & ComparisonYesYes

While both roles involve working with data and algorithms, ML Researchers focus on developing new machine learning models and advancing AI research, often in academic or research settings. Data Scientists analyze data to derive insights and support business decisions, typically working in industry environments. Understanding these differences helps clarify career paths and job expectations.

How to become an ML researcher?

To become an ML researcher, one typically needs a strong background in computer science, mathematics, or related fields, often demonstrated by a master's or Ph.D. degree. Developing expertise in machine learning algorithms, programming skills in languages like Python, and experience with tools such as TensorFlow or PyTorch are essential. Engaging in research projects, publishing papers, and staying current with advancements in the field also support career development.
More about Ml Researcher jobs

What cities are hiring for Ml Researcher jobs?

Cities with the most Ml Researcher job openings:

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

The most popular types of Ml Researcher jobs are:

What states have the most Ml Researcher jobs?

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

What job categories do people searching Ml Researcher jobs look for?

The top searched job categories for Ml Researcher jobs are:

Ml Researcher jobs near you
Infographic showing various Ml Researcher job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

ML Researcher

San Jose, CA • On-site

Rivet Industries
See more jobs at Rivet Industriesexternal

$150K - $290K/yr

Full-time

PTO

Re-posted 20 hours ago

Job description

About Rivet
Rivet is an American company building integrated task systems - fusing hardened hardware with software, sensors, AI, and networking - for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world's toughest environments.
We serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority.
At Rivet, you'll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve.
Work Authorization Requirement: Due to the nature of our business and compliance with federal regulations, all candidates must be a "U.S. Person". Upon hire, you will be required to provide documentation verifying your status as a U.S. Citizen, a lawful permanent resident, or a protected individual under 8 U.S.C. 1324b(a)(3).
Summary
We are seeking a talented ML Researcher / Research Engineer to advance our computer vision and sensor fusion capabilities. This role combines cutting-edge research with practical implementation of machine learning pipelines for imaging, pose estimation, and model optimization. The ideal candidate will have strong expertise in Python, deep learning frameworks, and experience deploying ML models in production environments. You'll explore new ideas, validate them against the state of the art and deliver working prototypes that influence our product and research direction.
Responsibilities
  • Implement POCs in Python/C++ to validate ML ideas on embedded hardware
  • Conduct research in imaging and video processing pipelines for AR/VR applications
  • Document learnings and define clear pathways from prototype to production
  • Research and implement model optimization techniques for edge deployment
  • Stay current with latest developments in computer vision and machine learning literature
  • Prototype novel algorithms and validate performance through experimentation
  • Design and implement end-to-end machine learning pipelines using PyTorch and TensorFlow Lite
  • Optimize models for real-time performance on mobile and embedded platforms
  • Implement MLOps best practices for model versioning, monitoring, and continuous integration
  • Create scalable data preprocessing and augmentation pipelines

Requirements
  • BS with a minimum of 5+ years of academic or industry experience in machine learning research or applied ML engineering with shipped or published work (or MS with 2+ yrs of the above)
  • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow)
  • Experience with ML pipeline development, model deployment, and production monitoring
  • Knowledge of quantization, pruning, and edge deployment techniques

Preferred Qualifications
  • PhD in Computer Vision, Machine Learning, or related field
  • Publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML)
  • Experience with AR/VR or mobile computer vision applications
  • Knowledge of CUDA programming and GPU optimization
  • Experience with cloud platforms (AWS, GCP, Azure) for ML workloads
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
  • Experience with distributed training and large-scale data processing

Research Areas (at least one)
  • Imaging/Video Pipeline: Experience with computational photography, video processing, or camera systems
  • Sensor Fusion & Pose Estimation: Research background in multi-sensor data fusion, tracking, or SLAM
  • Model Optimization: Experience optimizing ML models for mobile/embedded deployment

Foundational Knowledge (preferred understanding)
  • Camera Systems: Intrinsic/extrinsic calibration, pinhole model, distortion correction, FOV, color science, exposure control, stereo matching
  • Image Processing: Demosaic, denoising, sharpening, color correction, tone mapping, gamma correction, HDR, super resolution, segmentation, white balance
  • Computer Vision: Feature detection/matching, optical flow, structure from motion, 3D reconstruction, SLAM algorithms
  • IMU & Sensor Fusion: 6DOF/3DOF tracking, gyroscope/accelerometer/magnetometer integration, sensor calibration, sensor fusion algorithms

Compensation may vary within the posted range based on relevant experience, skills, education, and other job-related factors. In addition to base salary, this role may be eligible for equity and other forms of compensation. Eligible employees also receive a competitive benefits package, including unlimited PTO.
Rivet is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable law. Certain roles may require U.S. Person status, security clearance eligibility, or other requirements imposed by law or government contract.

Apply