Top Remote Machine Learning Jobs in Oklahoma City, OK
Design and develop scalable platforms and services using machine learning to enhance customer shopping experiences. Make key architectural decisions around MLOps and contribute to the overall AI strategy of the company. Responsibilities include maintaining ML data pipelines, optimizing deep learning models, promoting software engineering best practices, and automating workflows. Required technical expertise includes Kubernetes, RDBMS, API-driven development, model serving, observability, data pipeline design, and cloud-native application development. Proficiency in Python, PyTorch, and experience with MLFlow are critical for this role.
The Machine Learning Analyst at TextUs will assist in designing and developing data pipelines, support the building and deployment of machine learning models, collaborate with different teams, and contribute to developing user metrics and benchmarks to improve engagement and business outcomes.
As a Senior Software Engineer focused on ML Infrastructure at Thumbtack, you will collaborate with engineers, applied scientists, and product managers to refine and execute on the shared vision for generative AI, feature platforms, model deployment, and model monitoring. Responsibilities include centralizing and standardizing ML infrastructure, experimenting with next-generation capabilities, driving projects to completion, and solving technical problems.
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As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
Join Spring Health as a Machine Learning Engineer to build and enhance models for precision mental health solutions. Contribute to AI platform development and improve member and provider experiences through innovative data products.
Lead a team applying machine learning methods to solve credit risk prediction problems for a small dollar lending product. Explore new variables and opportunities for ML models to improve credit decisioning. Responsible for the performance of loan originations for the product.
Senior Machine Learning Engineer at Instacart focusing on optimizing solutions in routing, pricing, dispatch, and mapping using machine learning. Collaborates with product managers and backend engineers to create impactful ML applications and improve operational efficiency.
Senior Machine Learning Engineer responsible for delivering innovative ML solutions across Workiva using MLOps and software engineering best practices. Develops tools, systems, infrastructure, and automation for managing Workiva's ML solutions. Mentors team members and collaborates with product teams to deliver complete software products.
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