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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.
As a Senior Data Scientist on Walmart's fraud detection team, you will design and implement predictive models using machine learning and data mining techniques. Collaborating with cross-functional teams, you will address fraud risks in products, create data visualizations, and propose insights to optimize operations.
As a Search Relevance ML Engineer/Data Scientist Lead at Salesforce, you will design and develop intelligence features for search services impacting millions of requests daily. Collaborating with multifunctional teams, you'll improve search relevancy through data analysis, model deployment, and continuous optimization using the latest machine learning techniques.
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The Practice Director will lead the Data Engineering and AI/ML practice, managing customer engagements and focusing on Data Modernization. Responsibilities include strategic planning, team leadership, guidance on data solutions, and operational management while ensuring excellence and innovation in delivery.
The Staff Data Scientist will develop advanced AI models focusing on large language models and Generative AI. This role involves leading data science initiatives, collaborating with interdisciplinary teams, and enhancing AI-driven interactions and personalization for impactful user experiences.
The AI/ML Research Scientist will provide technical leadership in AI/ML, computer vision, and signal processing for DARPA programs. Responsibilities include conducting feasibility analyses, developing program plans, mentoring junior researchers, and fostering innovation. The role requires extensive experience in AI/ML and strong communication skills.
The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.
Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.
Featured Jobs
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.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
Design, train, and deploy deep learning models utilizing extensive labeled and unlabeled data from a fleet of vehicles, focusing on generative and foundation models to advance autonomous driving capabilities.
We are seeking a Lead/Associate Director to lead ML and MLOps Engineering for Generative AI solutions. The role involves architecting and deploying production-grade services, collaborating with cross-functional teams, managing ML operations and data pipelines, and documenting best practices.
The Practice Manager for Data Science, AI, and ML will lead a team of experts to deliver professional services, ensuring successful customer engagements. Responsibilities include acting as a technical liaison, guiding teams through projects, educating clients on data science solutions, and supporting cloud migrations. The role requires building strong customer relationships and delivering training to ensure client and team knowledge.
The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.
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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.
The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.
The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.
The Senior ML/Research Scientist will develop wearable neurotechnologies, focusing on biosensing earbud technology. Responsibilities include conducting research, applying machine learning and signal processing, developing algorithms for neural signature detection, and collaborating with teams on clinical studies and product integration.
The Principal ML Engineer will build and deploy scalable machine learning models, develop web applications for data insights, and collaborate with cross-functional teams to deliver impactful data-driven solutions. Responsibilities also include providing consulting services for data-driven decision-making.
The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.
As a Staff Machine Learning Engineer at Fakespot, you will apply machine learning techniques to analyze unstructured data, develop and fine-tune models for text-related tasks, optimize models for production, monitor performance, and collaborate with cross-functional teams to enhance features and solutions.
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The Sr. Software Engineer for Machine Learning at Tinder will develop algorithms and recommendation systems that enhance user matches and optimize business metrics. This role involves high-impact contributions in a collaborative, innovative engineering environment.
As a Sr. Software Engineer, you'll develop machine learning infrastructure to support various business needs, mentor junior engineers, and collaborate with cross-functional teams. Your work will enable rapid testing and scaling of experiments using vast datasets.
Design and optimize large-scale machine learning data pipelines for training multimodal foundation models. Collaborate with researchers to manage large datasets and develop tools for data labeling and curation. Implement and improve data loading for video processing and robot learning on GPU clusters.
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As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
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