Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Commit
San Francisco, CA, United States
About Us: Commit is working with a confidential partner on this role. Applicants proceeding to the next stage will receive further information about the employer and recruiting process. About the company: Company Size - 25 People Approx Funding - $30M Company Stage - Series A Backed by : Databricks Ventures, Bain Capital Ventures, Menlo Ventures In
Job Source: CommitPerplexity
San Francisco, CA, United States
Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to
Job Source: PerplexityRobust Intelligence
San Francisco, CA, United States
Vision Robust Intelligence's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases and adversarial input easily distort AI outputs and can have detrimental effects. In addition, with viral adoption of
Job Source: Robust IntelligenceTwelve Labs Inc.
San Francisco, CA, United States
Who we are At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we inter
Job Source: Twelve Labs Inc.Replicate, Inc.
San Francisco, CA, United States
You’re a machine learning engineer who is an expert at productionizing and optimizing models. We have a huge library of community-contributed machine learning models. You’ll maintain some of the most popular ones so they’re fast and reliable. It’ll involve implementing open-source models, optimizing them, and doing general maintenance on them. It
Job Source: Replicate, Inc.Stealth Startup
San Francisco, CA, United States
We are one of the leading tech investment firms globally, with a track record of investing in some of the most valuable companies in the world. We are helping our early stage (Pre-Seed -> Series B) portfolio companies grow their teams. A portfolio company is looking to hire machine learning engineers as their sales increase and they confirm product
Job Source: Stealth StartupSalesforce
San Francisco, CA, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help com
Job Source: SalesforceBunkerhill Health
San Francisco, CA, United States
About The Role At Bunkerhill, we are laser focused on helping researchers bring their algorithms to the clinic. To that end, we have launched a new initiative: to build a foundation model for medical imaging! Today, when a researcher is interested in building an algorithm, they typically need to start from scratch (or use models pretrained on Ima
Job Source: Bunkerhill HealthSan Francisco, CA, United States
At Cleanlab you will
Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists/engineers (across all industries) to effectively diagnose/fix issues in their datasets thus improving the quality of their business’s core asset.
Determine how to best leverage new Generative AI advances/infrastructure for better tools that automatically find & fix issues in datasets. The north star of our company is to use AI to increase the value of Data .
Work with text, structured/tabular, image/video datasets from companies across diverse industries, and setup on large-scale modeling infrastructure at a dynamic startup (0 to 1).
What we’re looking for
Strong software engineering skills and experience productionizing code/models in cloud environments while maintaining the necessary data/API infrastructure. You should be comfortable with large software systems.
Experience working in MLOps: processing data, deploying and monitoring models, setting up the necessary infrastructure for Data/AI projects.
Responsibilities
Spin up cloud infrastructure for ML projects spanning text, image, and structured/tabular datasets.
Work on large-scale Data/AI projects with Cleanlab enterprise customers, from inception to production.
Work as individual contributor tech lead on a ML team of around 5.
Innovate on new algorithmic techniques to improve a dataset, leveraging the newest Foundation model advances.
Qualifications
This is a senior role! Candidates must have at least 5+ years work experience in ML. Schoolwork or general data science work does not count here, you should have tackled hard MLOps challenges at companies dealing with massive datasets, reliable model serving, cloud infrastructure, etc.
Python (pandas, scikit-learn, numpy, Jupyter)
PyTorch/PyTorch Lightning, Hugging Face
Relational databases
AWS
Docker
Git
CI/Testing, e.g. Jenkins
Bonus:
PhD in Machine Learning
Strong research publications or open-source contributions
Sagemaker, MLflow, Ray
ELT and data cleaning tools
Cleanlab or other data-centric AI tools
LangChain and LLMOps stack
Learn more about the role and benefits here: https://cleanlab.ai/careers/ml-engineer/
#J-18808-Ljbffr
Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.