Machine Learning Jobs in San Francisco

43

Research Scientist (PhD), [email protected]

Unity Technologies
San Francisco
16 hours ago
+33
We are looking for an exceptional researcher to join Unity’s ML-Agents team within [email protected] The ML-Agents team is an applied research team focused on: 1. Enabling Unity as a premier simulation platform for Artificial Intelligence research ranging from locomotion to language-guided visual navigation, and 2. Enabling Unity developers to train character behaviors using machine learning techniques such as deep reinforcement learning and imitation learning. You will be working with a team of researchers and engineers to develop technologies for creating intelligent agent behaviors within Unity environments. Bringing these technologies to the Unity platform has the potential to both transform how games are created, tested, and evaluated, and push forward RL research by providing novel simulation environments.

Staff Deep Learning Scientist

Machine Learning Platform Engineer

Primer
San Francisco
5 days ago
Primer is seeking a Staff Machine Learning Platform Engineer for our deep technology team. You will anchor and help grow a special team within this well-funded, rapidly growing artificial intelligence startup. You will create the technology that transforms all of our products, and makes entirely new ones possible.

Principal Machine Learning Engineer

Primer
San Francisco
5 days ago
As a Principal Machine Learning Engineer, you will drive significant improvements in our core machine learning algorithms, transforming the capabilities and performance of our products. As well as making core contributions yourself, you’ll work with other members of our team to guide their work through from ideation to implementation, raising the bar of what they produce and enabling them to do their best work.

Senior Software Engineer, Data Platform

Quantcast
San Francisco
5 days ago
Quantcast is hiring a Senior Software Engineer to work on the Core Data Pipelines team in our San Francisco headquarters. As the real-time pulse of the Internet, Quantcast uses machine learning to drive human learning. We’ve built one of the largest computing infrastructures in the world, measuring over 100 million web destinations globally. In addition to this global network, Quantcast has developed machine learning models that predict audiences and behaviors that are used by the top digital marketers around the world. We are one of the top 10 media buyers across the globe and we are looking for a product leader to define and lead our inventory product strategy.

Senior Software Engineer, Machine Learning

Data Scientist / ML Engineer

Qordoba
San Francisco
5 days ago
We’re looking for an enthusiastic, experienced Data Scientist to join our San Francisco team. This is an excellent opportunity for a curious and enthusiastic Data Scientist who wants to contribute to a product at the forefront of natural language processing. The ideal candidate is eager to join a diverse, fast-growing team that fosters a fun and growth-oriented office culture.

Software Engineer - Data Infrastructure

Plaid
San Francisco
5 days ago
Provide self-served business insights so anyone at Plaid can explore our data quickly and safely and get the business insights they need. Build the data and ML infrastructure to enable any Plaid engineer to prototype and iterate on products and features built on top of consumer-permissioned financial data.

Research Scientist

Scale
San Francisco
1 week ago
Research and develop machine learning solutions to assist humans in the loop. Aid in the creation of high quality ground truth data with speed and accuracy. Engage with the international research community by publishing research papers and attend academic conferences.

Machine Learning Research Engineer

Scale
San Francisco
1 week ago
Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparemeter searches, then deploy without regressing on core model characteristics. Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines. Work with massive datasets to develop both generic models as well as fine tune models for specific products. Build the scalable ML platform to automate our ML services. Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization. Be able, and willing, to multi-task and learn new technologies quickly.

Research Engineer

Scale
San Francisco
1 week ago
Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparemeter searches, then deploy without regressing on core model characteristics. Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines. Work with massive datasets to develop both generic models as well as fine tune models for specific products. Build the scalable ML platform to automate our ML services. Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization. Be able, and willing, to multi-task and learn new technologies quickly.

Data Scientist

Scale
San Francisco
1 week ago
As Scale’s first data scientist, you will lead the charge on building our analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.

Staff Search Engineer

Reddit
San Francisco
1 week ago
Develop the core search infrastructure at Reddit. Apply Machine Learning / Artificial Intelligence to retrieve relevant results with optimal ranking. Dig into how Reddit’s customer behavior is unique and go beyond generic relevance algorithms. Participate in the full development cycle: design, develop, qa, experiment, analyze, and deploy. Collaborate across disciplines to find technical solutions to complex challenges.

Perception Machine Learning Engineer

Ike
San Francisco
1 week ago
Fine-tune existing detectors and / or prototype new network architectures. Fuse multiple sensors or novel inputs into the detectors. Improve on-vehicle network performance (e.g., latency). Stay up to date with the literature and incorporate state-of-the-art ideas.

Senior Data Engineer, Machine Learning Infrastruct…

Standard Cognition
San Francisco
1 week ago
Data quality and quantity can make or break any machine learning application. Standard Cognition is looking for a data engineer to build infrastructure for the entire lifecycle of our automated checkout models : data processing, model training and deployment. Your work will enable rapid experimentation and iteration on deep learning pipelines which handle terabytes of incremental data every week. You’ll be a technical leader on the data team working closely with machine learning engineers to establish best practices and develop solutions to handle one of the largest and most novel computer vision datasets in the industry.

Machine Learning Engineer

Standard Cognition
San Francisco
1 week ago
A successful Machine Learning Engineer will build high-quality production systems that drive key improvements to our machine learning ecosystem and ultimately produce more accurate and efficient models at scale. This role interacts heavily with our research and pipeline team members. If this sounds like fun, we'd love to hear from you!

Full Stack Engineer, Data/ML Tools

Standard Cognition
San Francisco
1 week ago
At Standard Cognition, we’re rethinking the way retail works. We are enabling autonomous checkout for brick & mortar retailers with our AI-powered computer vision platform. Since launching in November 2017, Standard has contracts with multiple global retailers and is in the process of deploying our Standard Checkout solution across thousands of stores globally. We announced our Series A in November 2018 and we’re backed by some of Silicon Valley

Deep Learning Researcher

Standard Cognition
San Francisco
1 week ago
 Implement deep learning models for person detection, pose estimation, item classification, and action recognition. Integrate latest research to test SOTA models on our custom datasets. Devise models for aggregating visual and semantic features across multiple cameras perspectives and timescales. Adapt pre-existing models to better handle the details of our particular problem set. Experiment with model architectures, transfer learning strategies, data augmentation approaches, data sampling strategies, hyperparameter search. Inspect model errors and formulate principled strategies to improve the accuracy of the system.

Senior Machine Learning Engineer

Primer
San Francisco
1 week ago
As Senior Machine Learning Engineer, you will be responsible for formulating, designing and implementing machine learning systems. This role requires your programming skills, your deep knowledge of applied mathematics, and your experience with state of the art machine learning techniques. Just as important, this role requires your passion for applying cutting edge techniques to solve real-world problems.

Lead Data Scientist - Underwriting Algorithms

Faire
San Francisco
1 week ago
We’re looking for someone who’s comfortable working on the cutting edge of machine learning research. You’re happy working autonomously and delivering results without micromanagement. You wake up ready to take a problem end-to-end, dive into the guts of our information-rich databases, and produce actionable insights. You can’t wait to push the boundaries and discover the next big thing, then share it with your peers. You are, or will be, world-class in credit risk and help lead the wider data community. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!

Senior Data Scientist, Machine Learning

DoorDash
San Francisco
1 week ago
As a machine learning data scientist, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop models that impact millions of users across our three audiences and tackle our most challenging business problems. You will report into the Head of Data Science and work with data scientists, engineers, and product managers to develop and iterate on models to help us grow our business.

Senior Computer Vision Engineer

Engineering Manager, Machine Learning Infrastructure

Software Engineer, Machine Learning

Software Engineer, Machine Learning Infrastructure

Software Engineer, Search & Personalization

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Lead Software Engineer, Data Infrastructure

Grand Rounds
San Francisco
1 week ago
We are looking for a hands-on engineer to lead the data infrastructure team. We believe lead engineers have a keen understanding of where our business is headed and mastery of their craft to help us get there. Specifically for the data infrastructure team, the ideal candidate must have a very strong understanding of data processing technologies for both data science and engineering, coupled with exceptional software engineering foundations and discipline.

Machine Learning Engineer

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