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Top Remote Machine Learning Jobs in Sacramento, CA

53+ Job Results
17 Days Ago
2 Locations
Remote
1,500 Employees
160K-222K Annually
Senior level
1,500 Employees
160K-222K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+56 More
18 Days Ago
United States
Remote
2,200 Employees
Senior level
2,200 Employees
Senior level
Fintech
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+63 More
24 Days Ago
US
Remote
56 Employees
Senior level
56 Employees
Senior level
Enterprise Web • HR Tech • Information Technology • Software
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+42 More
15 Hours Ago
USA
Remote
82 Employees
Expert/Leader
82 Employees
Expert/Leader
Artificial Intelligence • Computer Vision • eCommerce • Retail • Analytics • Generative AI
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
Top Benefits:
401-K
Company Equity
Dental Insurance
+16 More
3 Days Ago
2 Locations
Remote
71 Employees
Mid level
71 Employees
Mid level
Fintech • Information Technology • Machine Learning • Marketing Tech • Software • Business Intelligence • Big Data Analytics
As a Senior Machine Learning Engineer at Enigma, you will develop scalable ML systems, enhance entity resolution algorithms, and improve machine learning infrastructure, directly impacting business decisions for customers. You will collaborate with data scientists and engineers to innovate and maintain high-performance systems.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+41 More
4 Days Ago
United States
Remote
7,509 Employees
Expert/Leader
7,509 Employees
Expert/Leader
Cloud • Information Technology • Software
As a Principal MLOps Engineer, you will architect and optimize ML inference platforms, collaborate with teams for engineering solutions, and lead high-performance teams in developing efficient inference systems.
Top Benefits:
401-K
Company Outings
Dental Insurance
+19 More
5 Days Ago
USA
Remote
1,288 Employees
Senior level
1,288 Employees
Senior level
Automotive • Other
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
5 Days Ago
8 Locations
Remote
76 Employees
Junior
76 Employees
Junior
Artificial Intelligence • Healthtech
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.
6 Days Ago
2 Locations
Remote
90 Employees
Senior level
90 Employees
Senior level
Software
The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
7 Days Ago
USA
Remote
3,700 Employees
201K-237K Annually
Senior level
3,700 Employees
201K-237K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.
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