851 matching jobs for “Machine Learning Engineer 4”

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Software Engineering Intern, Connectivity - HP IQ

San Francisco, California, United States

Full time
Internship

Pay posted by employer$40.00–$50.00 per hour

… software supporting wireless connectivity across a variety of devices and platforms. Explore sensing, machine learning, and AI techniques to solve complex technical challenges. Debug and resolve issues across system …

Added Oct 29, 2026

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Walmart

(USA) Senior, Data Scientist

Sunnyvale, California, United States

Pay posted by employer$117,000–$234,000 per year

… Intelligence group within Walmart’s AI & Data organization. The team develops and deploys Generative AI and machine learning platforms, models, and services across Walmart’s highest-impact growth pillars—including AI …

Added Oct 27, 2026

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Stanley Black & Decker

Sr. Lab Technician

Taichung, Taiwan, Taiwan

Full time
Regular

When machine assembly completes or machine delivers to the site, inspect and verify that machine specifications and …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - US Card Customer Management

New York City, New York, United States +3 locations

… a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities …

Added Oct 27, 2026

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Nvidia

Senior HPC Architect, Automation and At-Scale Deployment

Santa Clara, California, United States +12 locations

… market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by …

Added Oct 27, 2026

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Walt Disney

Disney Research Studio Intern

Zürich, Zurich, Switzerland

Full time
Internship

… of a senior researcher or artist, as a member of an existing group. Internship positions generally run 3 to 4 months full time in Zurich, Switzerland . The work language is English. Responsibilities Research, develop, …

Added Oct 27, 2026

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Walt Disney

Disney Research Studio Intern

Zürich, Zurich, Switzerland

Full time
Internship

Added Oct 27, 2026

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Abbott Laboratories

Sr. AI Scientist - Life Sciences

United States of America : Remote

Pay posted by employer$99,300–$198,700

… Working in a team setting, this position applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve complex problems involving biological, genomic, clinical and …

Added Oct 15, 2026

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Software Engineering Intern, Product & Developer Productivity - HP IQ

San Francisco, California, United States

Pay posted by employer$40.00–$50.00 per hour

… work directly with our hiring manager and team to design, build, and deploy agents that utilize pre-trained machine learning models to solve real problems for developers and quality engineers. This is an exceptional …

Added Nov 4, 2026

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Software Quality Assurance Intern

San Francisco, California, United States

Full time
Internship

Pay posted by employer$40.00–$50.00 per hour

Added Oct 29, 2026

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Capital One Financial

Director, Data Scientist - Generative AI Systems

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - People Tech

New York City, New York, United States +2 locations

Added Oct 27, 2026

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Applied Materials

Algorithm Developer

Reẖovot, Central District, Israel

… solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist - Alternative Data Strategy

New York City, New York, United States +3 locations

Added Oct 27, 2026

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Amgen

Senior Data Scientist - Protein Data Pipelines

India - Hyderabad

Full time
Regular

… programs. Working at the intersection of data engineering, MLOps, computational biology, and applied machine learning, this individual will partner with ML developers, wet-lab scientists, domain experts, and …

Added Oct 15, 2026

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Capital One Financial

Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist, Data Solutions and Modeling

Chicago, Illinois, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Director, Data Scientist - Global Payment Network

Riverwoods, IL +3 locations

Added Oct 27, 2026

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Abbott Laboratories

Sr. AI Scientist - Life Sciences

United States of America : Remote

Pay posted by employer$99,300–$198,700

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Minimum Qualifications · employer excerpt

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or Master’s Degree in Statistics, Computational Biology, Computer Science, or related quantitative field as…
5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field as outlined in the essential duties.
5+ years of experience with artificial intelligence and machine learning algorithms.
Demonstrated experience with and mastery of advanced AI concepts, such as artificial neural networks, deep learning, and model architectures.
Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern…

6 more in the full description below.

About this opportunity

Original employer description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Position Overview:

The Sr. AI Scientist is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. This is a hands-on role, with both individual contributions and the leading of projects. Working in a team setting, this position applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve complex problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This position provides technical leadership and direct contribution at every step of the solution development process, from ideation and design through implementation and deployment.

The Sr. AI Scientist will help craft the strategic vision for the application of cutting-edge AI methodologies at Abbott Cancer Diagnostics and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.

Essential Duties
Include, but are not limited to, the following:

Lead development of perspectives on technology “affordance”: what do these advances in AI technology allow us to do (more efficiently and / or more effectively) that we couldn’t do before
Work with stakeholders to identify, refine, prioritize and formalize requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications.
Collaborate with other ML/AI engineers and relevant partners to provide technical and strategic leadership for the design of software solutions that utilize state-of-the art artificial intelligence and machine learning techniques.
Work with other AI and ML engineers and software engineers to lead the implementation and deployment of ML and AI solutions.
Complement leadership with hands-on work and clear deliverables.
Provide leadership in the development of an AI strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes.
Lead internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them.
Assist team to solve complex problems using sophisticated analytical thought to exercise judgement and identify innovative solution
Provide mentorship and coaching to more junior level team members.
Act as resource and subject matter expert in core team and/or cross-functional meetings.
Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods.
Exercise discretion and judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results.
Ability to effectively communicate, influence decision-making, and explain difficult, sensitive, and/or highly complex information to audiences of peers.
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company’s Quality Management System policies and procedures.
Maintain regular and reliable attendance.
Ability to act with an inclusion mindset and model these behaviors for the organization.
Ability to work designated schedule.
Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day.
Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or Master’s Degree in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties plus 4 years of relevant experience.
5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field as outlined in the essential duties.
5+ years of experience with artificial intelligence and machine learning algorithms.
Demonstrated experience with and mastery of advanced AI concepts, such as artificial neural networks, deep learning, and model architectures.
Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
Demonstrated experience with and mastery of large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation.
Strong programming ability with demonstrated experience in Python and and common machine learning libraries such as PyTorch and MLFlow.
Knowledge and experience working with open-source AI models.
Excellent communication skills and the ability to explain complex topics to audiences of varied backgrounds.
Demonstrated ability to perform the essential duties of the position with or without accommodation.
Authorization to work in the United States without sponsorship.

Preferred Qualifications

8+ years of life sciences industry experience working with biological data.
8+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine learning models.
Scientific understanding of cancer biology
Basic knowledge of cloud computing, particularly AWS SageMaker and HyperPod.

The base pay for this position is

$99,300.00 – $198,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Product Development

DIVISION:

ONCO Cancer Diagnostics

LOCATION:

United States of America : Remote

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 5 % of the Time

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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