As a machine learning engineer, you will help us build RL environments to automate ML engineering. Our goal is to accelerate the automation of ML engineering as fast as possible to advance AI progress.
This role requires not only ML engineering expertise, but also software engineering experience, since you will be building RL tasks that simulate ML engineering work. This involves writing tests, building out infrastructure, and improving tooling.
We have a high bar. Several years of experience is expected but not required. You must be able to code in Python and have real-world experience in the industry.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Significance is hiring a cleared Data Scientist to build and validate AI/ML pipelines and integrate models with ERP systems to support federal finance and audit automation within Advana Mercury.
Experienced data scientist with supply chain optimization and strong Python engineering skills needed to develop and productionize replenishment and inventory allocation models for a leading AI consultancy in the CPG/retail space.
Lead development and deployment of statistical and machine learning solutions at Truist to generate actionable insights, improve decisions, and mitigate risk.
Contribute to production ML systems as a Machine Learning Engineering Intern, helping build, evaluate, and deploy models while working closely with engineers and researchers.
Protegrity is hiring an MS-level Machine Learning Engineer to develop and fine-tune GenAI architectures and agentic tools that secure AI workflows in a hybrid Menlo Park environment.
Beyondsoft is hiring a remote Software Development Engineer skilled in Power BI, data processing, and statistics to deliver actionable reports now and scalable engineering solutions over time.
Contribute as an AI/ML new graduate at AVEVA to design, prototype, and deploy machine learning models and cloud-native AI services that solve real industrial problems.
Apply machine learning and data science to Visa's large payments datasets to drive insights, productize analytics, and present strategic recommendations to clients and partners.
An on-site Junior Data Scientist role in Riverview focused on building pricing algorithms, supporting LLM-powered agents, and turning disparate data into actionable insights.
Work with Syngenta's Vegetables R&D team in Durham as a Data Scientist Intern developing and validating ML models and explainable AI methods to drive product advancement decisions.
Protegrity is hiring a PhD-level Machine Learning Engineer to secure and scale GenAI systems by developing agentic AI solutions, fine-tuning LLMs, and applying ML to enterprise data protection.
Lead the design, development, and deployment of enterprise-scale generative AI and ML systems at Ascend Learning as a hands-on Principal AI Engineer.
Peraton is hiring a Lead Associate Data Scientist to develop ML, generative AI, and large-scale analytics solutions in support of USSTRATCOM at Offutt AFB.