Data Science & Machine Learning Jobs

Join Amazon's Remote Customer Service Team. Flexible Hours & Great Pay. Apply Now Online!

Position: AD, Regulatory AffairsLocation: San Francisco (Hybrid)Reports To: Senior Director, Regulatory AffairsCompensation: $180-220k base salary + annual bonus + stock optionsAbout the company: With

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception and Image Quality, technologies across Apple products. The Architecture team within our organization

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. As a Data Scientist / Data Analyst / Data Science Specialist for Ad

As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. Build synthetic data pipelines to generate enterprise environments to use for RL post-training. You'll also receive benefits including, but not limited to: Compreh

Title : Customer Success EngineerLocation: Santa Clara, CA (hybrid)Duration: 12+ Months Looking for those who can work on W2Primary Skills Customer Success experience5 years of experience in network s

MAU is hiring a Training Content Developer for our client Archer Aviation in San Jose, CA.As a Technical Training Developer, you will design, develop, and deliver technical training programs and mater

Go Find part time Jobs Listings Full/Part Time + Benefits $20-$35+ / Hour. (APPLY HERE)

We are a team of computer vision and machine learning (CVML) engineers building real-time 3D perception and input systems for future Apple products. PhD in computer vision, machine learning, robotics, or related fields. Experience across both classical 3D computer vision and deep learning.

Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Expertise in databases, data infrastruct

Find your next full time job in San Francisco, CA!

A forward-thinking advisory firm at the intersection of technology, policy, and reputation is seeking a Senior Consultant to help lead its AI practice. With a client roster that includes some of the m

PhD new grads or MS grads with 1-3 years of experience in applied machine learning, familiar with one or more algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, etc. Jo

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Ap

As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President in the Machine Learning Center of Excellence, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. The Chief Data & Analytics Office (CDAO) accelerates

Werner is Now Hiring CDL-A Company Drivers!Multiple Route Options and Pay Packages!More Than Half of Our Drivers Make Over $75,000 and Our Top 25% Make Over $85,000!Excellent Pay BenefitsMore than ha

Aquent is partnering with a leading and innovative retail company that is revolutionizing the customer experience. This organization is at the forefront of its industry, driven by a mission to deliver

Now accepting applicants for paid product testing, online surveys and research studies.

Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation

Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as integrating to product use