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The Machine Learning Engineer will design and implement advanced machine learning solutions to automate manual processes and improve data analysis. Responsibilities include developing machine learning models, software specifications, optimizing performance, and collaborating with cross-functional teams for continuous improvement and innovation.
As a Technical Principal Consultant, you will partner with clients to develop strategies for optimizing business solutions involving AI and ML, manage engagements worth $2-5M, assist in business development, and provide mentoring while delivering high-quality results on multiple projects.
The Machine Learning Engineer will develop and optimize algorithms for Multi-Agent Planning, 3D Reconstruction, and World Model tasks in autonomous driving. Responsibilities include designing path planning algorithms, improving 3D reconstruction, collaborating across teams, conducting performance analysis, and staying updated on research.
As a Machine Learning Engineer at WeRide, you will work on developing and enhancing predictive modeling and anomaly detection within autonomous driving technologies. Collaborating with a team, you will implement active learning strategies and distributed learning algorithms to tackle complex problems and advance mobility solutions.
As a Machine Learning Engineer, you will design, implement, and deploy machine learning models, collaborate with data engineers for data preparation, optimize algorithms, and stay updated with industry advancements to improve solutions for clients.
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 Machine Learning Engineer, you will develop and deploy machine learning models to tackle complex business problems. Responsibilities include collaborating with cross-functional teams, analyzing data, optimizing models, and ensuring production-quality deployments while staying updated on machine learning advancements.
The MLOps Engineer will develop systems and APIs for inference and fine-tuning of large language models, implement runtime systems for production-level ML training, and collaborate with various teams for deploying and maintaining ML inference systems.
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The Machine Learning Engineer will optimize AI inference systems, develop runtime inference services, and collaborate with teams to enhance AI capabilities. Responsibilities include designing production systems, conducting code reviews, and implementing robust data processing systems.
As an ML Engineer at Together AI, you will develop a platform for customizing open-source models, collaborate with product and research teams, ensure API reliability, and contribute to the open-source AI ecosystem. Key responsibilities include building systems, creating tooling, ensuring stability, analyzing methods, and developing new features. Ideal candidates have 2+ years of ML deployment experience, knowledge of fine-tuning methods, strong Python or Go skills, and a passion for reliable tools. Standout experiences include large-scale system development, advanced fine-tuning methods, open-source contribution, and ML workload management on Kubernetes.
Research and build the next generation AI platform at Together AI, design large-scale distributed training systems and low-latency/high-throughput inference engine, stay up-to-date with latest advancements in machine learning systems.
AI Researcher responsible for developing novel architectures, system optimizations, and algorithms to push the frontier of open models. Collaborate with cross-functional teams and stay updated on the latest advancements in machine learning. Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field required.
As a Senior Data Scientist at Twitch, you'll enhance machine learning systems and analytics to inform product strategies. You'll build new metrics for initiatives, create inputs for algorithms, design A/B experiments, and work collaboratively with cross-functional teams to address key questions about user engagement and content exploration.
As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.
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 role involves developing generative models and algorithms for protein design, scaling systems for data utilization, collaborating with lab teams, and engineering ML systems for therapeutic applications.
As a Staff Machine Learning Engineer, you will deliver AI-powered solutions, developing platforms and applications to enhance product performance. You will implement machine learning workflows and collaborate with technical teams to align solutions with business goals, ensuring high-quality outcomes. This role involves end-to-end development efforts to meet strategic objectives and drive technological innovation.
The Applied ML Scientist at PDT will collaborate with researchers and technologists to enhance trading strategies using statistical methods and machine learning. Responsibilities include conducting large-scale experiments, developing research methodologies, and generating innovative research ideas. Candidates should possess strong programming skills and experience in machine learning or statistical modeling.
The Senior AI & ML Consultant will architect and implement AI and ML solutions using OpenAI and Azure ML, lead project lifecycles, develop strategic roadmaps, and facilitate workshops to enhance AI understanding among clients. The individual will address complex business needs with innovative AI solutions while ensuring fairness in AI deployment.
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.
Design and implement infrastructure for training, evaluating, and deploying deep learning models for self-driving semi trucks. Develop and optimize training pipelines, track metrics, and enable continuous integration and deployment of model improvements in collaboration with cross-functional teams.
Design and develop algorithms to model interactions in enterprise cybersecurity, apply AI and graph analysis techniques, build solutions balancing complexity and performance, and collaborate with engineering teams on ML infrastructure and data pipelines.
The Machine Learning Engineer at Scribe will design and implement advanced AI techniques, optimize model performance, and create benchmarking infrastructure. Responsibilities include translating AI innovations into features, working on memory management, and collaborating with engineering teams to enhance model quality.
The Senior Machine Learning Engineer will work on developing AI-powered software, fine-tuning large language models, conducting multimodal product research, and ensuring model alignment to improve user experience at Scribe.
The Machine Learning Engineer will work on AI-powered software development, focusing on multimodal capabilities including vision and audio. Responsibilities include designing data pipelines for model training, improving model performance through experimentation, and collaborating with various teams.
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