Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.

Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and familiarity with cloud services for machine learning (e.g., SageMaker, AI Platform, Azure ML) Proficiency in programming languages such as Python, Java, or Go, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

As a Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems. Postdoc in Computer Vision, Machine Learning, Robotics or related field.

Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.

4+ years of experience in machine learning engineering with production systems using Scala, Python, and Apache Spark. You will work with a variety of machine learning algorithms, from traditional models to cutting-edge LLM technologies, to address relevant problems.

Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch. As a Technical Support Engineer at Tecton, you're instrumental in ensuring clients' seamless use of the company's machine learning operations (MLOps) platform.

You will be responsible for providing solutions to empower machine learning development and optimize offboard training. Design and implement machine learning tooling and workflows for analysis & augmentation of real-world data.

Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.

Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company.

BS, MS, or PhD in Robotics, Machine Learning, Applied Mathematics, Computer Science or related field. Experience with imitation and reinforcement learning and how machine learning can be used in robotics applications.

Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.

As a Senior Machine Learning Engineer at Carta, you'll spend a third of your time partnering with domain experts across the company to analyze and explore Carta's proprietary document repository and data set.

Flyx is seeking a Machine Learning Engineer to develop and fine-tune LLM (Language Model) chatbots for their no-code internal tooling platform. Flyx is seeking a Machine Learning Engineer to develop and fine-tune LLM (Language Model) chatbots for their no-code internal tooling platform.

9+ years of hands-on experience in machine learning, data science, and analytics with a consistent track record of successfully leading complex projects and deploying robust solutions into production environments.

5+ years of experience of building production-grade machine learning models in industry and/or academic research settings. Your expertise in machine learning and scalable ML infrastructure will be crucial in developing innovative features that revolutionize how people connect and create online.