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Top Machine Learning Jobs in Houston, TX

23 Days Ago
Houston, TX
Remote
36 Employees
190K-190K Annually
Senior level
36 Employees
190K-190K Annually
Senior level
Healthtech
The Senior AI/ML Engineer will design, build, and deploy machine learning models and AI systems to improve clinical outcomes and health equity for low-income populations. This role involves working with a multidisciplinary team to solve key problems using AI/ML solutions, preprocessing data, testing models, and driving impactful decision-making in healthcare.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+12 More
24 Days Ago
Houston, TX
Remote
4,900 Employees
126K-168K Annually
Senior level
4,900 Employees
126K-168K Annually
Senior level
Fintech • Payments
The Senior AI/ML Engineer will design and implement machine learning algorithms, maintain ML system pipelines, and integrate AI components into various applications. Collaborating with cross-functional teams, the engineer will also manage version control, implement CI/CD pipelines, and design RESTful APIs, all while working in fast-paced, regulated environments.
Top Benefits:
401-K
Adoption Assistance
Company Equity
+18 More
24 Days Ago
Houston, TX
Remote
78 Employees
125K-195K Annually
Mid level
78 Employees
125K-195K Annually
Mid level
Artificial Intelligence • Machine Learning
The ML Solutions Engineer will act as a trusted advisor to customers, facilitating technical and business discussions to enhance the use of AI applications. Responsibilities include engaging with clients, managing escalations, collaborating with the product team, and leveraging ML expertise to drive value for customers.
25 Days Ago
Houston, TX
Remote
3,700 Employees
162K-191K Annually
Senior level
3,700 Employees
162K-191K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Technical Program Manager at Coinbase, you will lead machine learning focused programs, ensuring strategic alignment and roadmap delivery. You'll work with cross-functional teams, manage documentation and communication, monitor program status, and address issues proactively. Additionally, you will need to communicate effectively with both technical and non-technical stakeholders.
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