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Lead Machine Learning Scientist Jobs (NOW HIRING)

Gather AI

Principal Machine Learning Scientist

About the Team This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Boston, MA

$111K - $146K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Richmond, VA · On-site

$101K - $133K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Richmond, VA

$101K - $133K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Boston, MA · On-site

$111K - $146K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar ...

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Lead Machine Learning Scientist information

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$27K

$112.7K

$200.5K

How much do lead machine learning scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for lead machine learning scientist in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What does a lead machine learning scientist do?

A Lead Machine Learning Scientist oversees the design, development, and deployment of machine learning models within an organization. They guide teams in identifying suitable algorithms, optimizing model performance, and ensuring solutions align with business goals. This role often involves collaborating with data engineers, analysts, and stakeholders to translate complex data problems into actionable insights. Additionally, Lead Machine Learning Scientists mentor junior staff and stay updated with the latest advancements in artificial intelligence and machine learning technologies.

What are the key skills and qualifications needed to thrive as a lead machine learning scientist?

To thrive as a Lead Machine Learning Scientist, you need deep expertise in machine learning algorithms, statistical analysis, data modeling, and typically a Ph.D. or Master’s degree in computer science, mathematics, or a related field. Proficiency with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and experience with cloud computing platforms are commonly required. Strong leadership, communication, and problem-solving abilities help in guiding teams and translating complex technical insights to stakeholders. These skills are vital for driving impactful AI solutions, fostering innovation, and ensuring successful project delivery.

How does a lead machine learning scientist typically collaborate with data engineers and product teams?

As a Lead Machine Learning Scientist, you will frequently work closely with data engineers to ensure data pipelines are robust, scalable, and optimized for model training and deployment. Collaboration with product teams is also essential to align ML solutions with business objectives, define project requirements, and interpret model outputs in a way that drives product improvements. Effective communication and cross-functional teamwork are crucial in this role, as you'll often need to translate complex technical concepts for non-technical stakeholders and guide interdisciplinary teams toward successful project outcomes.

What cities are hiring for Lead Machine Learning Scientist jobs?

Cities with the most Lead Machine Learning Scientist job openings:

What states have the most Lead Machine Learning Scientist jobs?

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What are popular job titles related to Lead Machine Learning Scientist jobs?

For Lead Machine Learning Scientist jobs, the most frequently searched job titles are:

Infographic showing various Lead Machine Learning Scientist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.

Principal Machine Learning Scientist

Remote

Gather AI
Industrial Automation Equipment Manufacturing • 11 - 50 employees
Learn more about Gather AIexternal

Full-time

Re-posted 8 days ago

Job description

About Us
Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About the Team
This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction - not just executing on decisions, but helping make them.
About the Role
We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle - from research and model architecture through training, deployment, and production monitoring - with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.
This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.
What You'll Do
  • Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
  • Own the full ML lifecycle from research and experiment design through production deployment and monitoring - applying rigorous ablation studies and SOTA methodology
  • Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
  • Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
  • Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
  • Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

What You'll Need
  • 10+ years of experience in machine learning or computer vision
  • Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
  • Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
  • Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have
  • Experience with drone, robotics, or autonomous systems perception
  • Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
  • Experience designing and deploying models for real-time inference on constrained compute platforms
  • Warehouse, logistics, or supply chain domain experience

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