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Amazon Machine Learning Scientist Jobs (NOW HIRING)

The Principal Machine Learning Scientist will advance computer vision systems for warehouse inventory scanning, overseeing the full ML lifecycle and collaborating with cross-functional teams to ...

Principal Machine Learning Scientist RTP, NC - Hybrid | Full-Time The mission CellForge is an AI-guided robotic platform for scalable, reproducible human cell manufacturing. We combine single-cell ...

New

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with ...

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Principal, Machine Learning Scientist Department: DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Reporting To: Hunter Elliot Description The role: We are ...

New

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with ...

Showing results 41-60

Amazon Machine Learning Scientist information

See salary details

$24.5K

$134.5K

$211.5K

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

As of Aug 8, 2026, the average yearly pay for amazon machine learning scientist in the United States is $134,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $162,000.00 per year, depending on experience, location, and employer.

What is the difference between Amazon Machine Learning Scientist vs Data Scientist?

AspectAmazon Machine Learning ScientistData Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentFocus on developing and deploying machine learning models within cloud platforms like AWSAnalyze large datasets, create reports, and develop insights across various industries
Employer & Industry UsagePrimarily in tech companies, cloud service providers, and AI-focused organizationsWidely used across finance, healthcare, marketing, and tech sectors

Amazon Machine Learning Scientists specialize in designing and implementing machine learning models within AWS, requiring advanced technical credentials. Data Scientists analyze data to generate insights across industries. While both roles require strong analytical skills, Machine Learning Scientists focus more on model development and deployment, whereas Data Scientists emphasize data analysis and reporting.

More about Amazon Machine Learning Scientist jobs
Infographic showing various Amazon Machine Learning Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,515 per year, or $64.7 per hour.

Principal Machine Learning Scientist

Gather AI

Pittsburgh, PA • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Gather AI is pioneering a new era of warehouse intelligence with its vision-powered platform that utilizes autonomous drones for real-time data capture. They are seeking a Principal Machine Learning Scientist to enhance their computer vision systems for warehouse inventory scanning, focusing on the full ML lifecycle to achieve significant business outcomes.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
We deliver the foundational intelligence layer for the intralogistics industry. Founded in 2017, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.