Top Machine Learning Jobs
The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.
The AI Research Scientist will lead research projects leveraging machine learning for quantitative analysis in finance. Responsibilities include identifying pertinent problems, collaborating with trading teams, and enhancing model design and infrastructure. The role requires a combination of ML expertise, engineering, and an understanding of market dynamics.
In this role, you will design and build advanced search and recommendation algorithms that improve the customer experience at Wayfair. You will develop scalable machine learning models while collaborating with cross-functional teams and addressing complex challenges. You will also stay abreast of the latest advancements in ML.
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As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.
As the Lead Machine Learning Engineer, you will develop and implement machine learning models for digital advertising performance, collaborate with software engineers, innovate ML solutions, mentor a growing team, and ensure models are effective and scalable.
As a Perception Software Engineer at Zipline, you will be responsible for developing and implementing innovative perception systems for autonomous aircraft. This includes selecting sensor configurations, designing algorithms for object perception and avoidance, building software infrastructure to improve algorithms, and collaborating with various teams for effective decision-making processes.
The Research Scientist will push forward the fields of AI and biology, contribute to the company's research roadmap, and lead projects in foundation models. Responsibilities include collaboration with partners, implementing software for research, and engaging in the scientific community through publications and open source releases.
As a Machine Learning Scientist, you will drive research in generative modeling technologies for biomolecular design, develop deep learning methods for protein prediction, curate datasets, and collaborate with biology teams. The role requires implementing and analyzing computational approaches and shaping the scientific vision of the company.
The Senior Scientist in Machine Learning will develop generative models and algorithms for protein design, scale systems using GPU resources, and collaborate with both computational and wet lab teams to create new therapeutics. The role also involves engineering machine learning systems for large-scale applications and presenting research findings.
The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.
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