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We were founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), Joshua Kushner (Oscar co-Founder) and Garrett Camp (Uber co-Founder).
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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As a Senior Machine Learning Engineer, You Will Be Building a Platform That Accelerates Drug Discovery With Machine Learning For a Wide Variety Of Use Cases With Respect To Data Modality, Model Architecture, And Model Size. By Leveraging Your Experience In Machine Learning, Software Engineering, Infrastructure, And Data, You Will.
$170,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are looking for a Senior Machine Learning Engineer to develop neural network architectures and algorithms to design new drug molecules and simulate their binding to human proteins, guided by our proprietary affinity calculations.
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Curiosity: we keep our minds open and never stop learning. Current Tech Stack: AWS, Redshift, Databricks, Python, DBT, Spark, Airflow, Kafka, Kubernetes, LightGBM, MLFlow, Metabase. If you're interested in working from our newly renovated Paris HQ with a rooftop garden and WeWork amenities, we have a desk waiting for you.
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As a Machine Learning Automation Engineer on the Behavioral Automated Triage team, you will interrogate data at scale, perform data engineering, leverage deep learning models (i.e. foundation models and language models), and respond to the evolving data needs at Zoox.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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GCS Prescient Design is seeking an exceptional Staff Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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The team is looking for an experienced Machine Learning Engineer to join us in developing a state-of-the-art motion planning system for autonomous driving. As an expert in machine learning in the Motion Planning team, you will be responsible to design and develop new Machine Learning models for our Motion Planners, and to deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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machine learning jobs Title: principal Company: Infosys Technologies
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