Data Science & Machine Learning Jobs

Addus Homecare - Up to $22.00/hour - - Responsibilities: Provide personal care including dressing and bathing; Perform homemaking tasks such as cooking, cleaning, laundry; Run errands for clients lik

WFH roles, paid training, phone discounts, and strong team support.

You’ll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. Staff Machine Learning Data Engineer. ML , including distributed systems, data extraction, transformation, and loading, and large

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. Proficiency in Python, C++,

Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality. RESTful APIs, JSON, and data pipelines. Engineering Excellence : You’ll contribute to reusable libraries, deployment pipelines, and system reliability practices.

Get Paid Weekly, Enjoy PTO, Full Benefits, Tuition Help, and a Job You Can Start Immediately!

[Delivery Driver / Courier] - Competitive Hourly Pay + Tips ($19-$27 per hour) / Flexible Shifts (FT PT Available) / Work when you want (24/7/365 availability) - As an Airspace Driver, you will: Oper

Whole Foods Market - Up to $34.92/hour - - Responsibilities: Use voice-based order system to select and palletize store orders; Manually stack product onto pallets, wrap, and prepare product for ship

Create methods and recipes for continuous data intake, selection and incremental updates of large models, develop methods for data mining and recipes for automated data collection/model update flywheels. Machine Learning and/or Computer Vision. We have access to millions of miles of driving data fro

Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. Hive) Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as i

Ambercare - - - Responsibilities: Assist seniors and disabled clients with personal care and daily living activities

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

MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field Experience with Python or C/C++ in a Linux environment Knowledge and experience in application of Deep Learning to Computer Vision problems Real-world experience building Computer V

Center 2 (19050), United States of America, McLean, Virginia Principal Data Scientist, Consumer Identity Machine Learning. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learn

Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. Experience with supervised and reinforcement learning fine-tuning (e. ML or data science with a focus on NLP Proficiency in.

J. C. Penney - - - Responsibilities: Support shrinkage and safety awareness programs; Conduct surveillance to detect theft, fraud, or suspicious activity; Detain and interview suspects in accordance

Up To $750/Week. Looking For Motivated Participants For Focus Groups Studies In San Francisc...

A Plus Health Care - Up to $22.00/hour - - Responsibilities: Provide personal care including dressing and bathing; Perform homemaking tasks such as cooking, cleaning, laundry; Run errands for clients

Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our dri

Create data sets, recipes for human and machine labeling, methods and recipes for continuous logging, data intake, selection and incremental updates of models, stream eval data set curation, sampling & slicing, enable data-driven decision making, develop methods for logging, data mining and recipes