Machine Learning Jobs in San Francisco

37

Senior Software Engineer, Knowledge Platform (ML I…

Square
San Francisco
16 hours ago
Make machine learning at Square easy. Square has over 100 engineers and data scientists building machine learning solutions; our team’ supports these efforts. We build model development tools, feature computation infrastructure, and high scale serving systems to ensure that those trying to use machine learning can spend less time on infrastructure and more time delivering value. Provide ecosystem expertise to all of Square's products. We provide systems and models that help teams transform their idiosyncratic data into reusable knowledge, so that each new ML system starts with access to a large set of observations and features.

Senior Machine Learning Engineer, Relevance

Wish
San Francisco
19 hours ago
Improve the core relevancy of Wish which serves impressions created billions GMV per year. Use big data platform to analyze massive semi-structured dataset and get data insights. Develop data models based on new data insights. Write highly efficient code to serve and a/b testing new models. Monitor, analyze and iterate on data models. Share gained knowledge with teammates and brain storm new ideas.

Senior ML Engineer- Data Platform

Cisco Meraki
San Francisco
2 days ago
+53
The Strategy & Data Science department is a growing group that works closely with executives and leaders across the company to support the development of and alignment on our business strategy. We are looking for a Senior ML Engineer - Data Platform to join our team in San Francisco. As part of this team, you will develop cross-functional relationships and work closely with data engineering and data science teams to drive near- and longer-term initiatives to improve our product, and customer experience. This would be an outstanding fit for a solution-oriented technical pro who is hands-on, has the ability to work autonomously, and can drive technical efforts building robust and resilient auto-scaling platform solutions with core AI-capabilities.

Architect, AI Infrastructure

Machine Learning Tech Lead Manager

Tinder
San Francisco
2 days ago
+32
Lead a machine learning team, which solves meaningful problems at massive scale (1.6B+ user swipes per day). Work on exciting problems that directly impact our revenue. Design and implement state-of-the-art machine learning algorithms in distributed machine learning frameworks such as Spark. Define and own the objectives and metrics for your team, and devise a development strategy and roadmap. Lead and mentor team members to reach their full potential. Recruit and build an extraordinary engineering team.

Senior Data Engineer

The Athletic
San Francisco
4 days ago
You'll be joining a small data team of engineers and scientists using cutting edge technology to build and deploy the tools that provide ML insights to our platform. We’re building a product for sports fans, and it is growing fast! You should be interested in building systems for scale, performance, and reliability. We all wear a lot of hats, so you’ll have the opportunity to work on database administration, ETL, microservice and model deployment, testing, experiments, and more depending on your interests. We’re a team of generalists interested in continuously learning new areas and we’ll expect you to be one as well. Our team is always experimenting and we trust and encourage our engineers to dream up and try out their own ideas and features.

Machine Learning Engineer

Synapse
San Francisco
4 days ago
An ability to work independently within a small, fast-paced team. An entrepreneurial spirit and unrelenting passion to deliver the best service possible. The ability to implement feedback, learn quickly, and contribute new ideas. A general concern for the wellbeing of others and the desire to work on problems that maximize a positive future for humanity.

Senior Data Scientist

Shippo
San Francisco
4 days ago
Partner with stakeholders across the organization to identify high-impact opportunities to leverage our data to better serve our customers. Work with the product and engineering teams to craft, design, launch and evolve high-impact data products. Research new ways of modeling data and applying machine learning for actionable insights in the product. Define relevant metrics, understand what moves them and why. Develop and socialize best practices around metric development, A/B testing and experimentation, usage tracking and instrumentation. Build models by utilizing advanced statistical modeling, machine learning, or data mining techniques to derive insights from current customers in order to improve communications, retention, engagement, LTV and develop methods for efficient targeting for prospecting customers at scale.

Principal Machine Learning Engineer

Calico Life Sciences
San Francisco
4 days ago
Calico is seeking a principal machine learning (ML) engineer to develop and productionize ML algorithms and software tools to support research into human aging and aging-related diseases. This person will be part of a cross-functional effort to build a world-class machine learning platform to advance research efforts at Calico, develop novel ML algorithms to solve challenging research questions, and play a critical role in defining and executing Calico’s strategy in computational biology and machine learning. Candidates should be comfortable dealing with various types of biological data or data at a scale such that required methods and tools have yet to be well-developed.

Machine Learning Engineer

Calico Life Sciences
San Francisco
4 days ago
Calico is seeking a machine learning (ML) engineer to develop and productionize ML algorithms and software tools to support research into human aging and aging-related diseases. This person will be part of a cross-functional effort to build a world-class machine learning platform to advance research efforts at Calico, develop novel ML algorithms to solve challenging research questions, and play a critical role in defining and executing Calico’s strategy in computational biology and machine learning. Candidates should be comfortable dealing with various types of biological data or data at a scale such that required methods and tools have yet to be well-developed.

Staff Machine Learning Engineer

Tapjoy
San Francisco
4 days ago
Experiment and improve machine learning models for the recommendation/ad optimization system. Inform bidding strategy and data engineering architecture. Understand various ad-optimization algorithms (CTR prediction, eCPM optimization, user targeting and segmentation, RTB optimization, Exploration/Exploitation Algos).

Software Engineer

Nuro
San Francisco
5 days ago
Our software team is growing and we are looking for talented engineers to join us and contribute to 1 or more of the following areas: machine learning infrastructure, 3D modeling, simulation, firmware development, imaging data pipelines. We are hiring at all different levels for this team.

Performance Engineer

Machine Learning Engineer

Machine Learning Engineer, Planner/Behavior Prediction

Deep Learning Engineer

Voyage
San Francisco
5 days ago
Help pioneer the future of machine learning for self-driving cars! Experience in computer vision. Show us what you've built before. Previous experience training your own deep neural networks a must, preferably previously in an automotive or robotics stack. Think CNNs, RNNs, Bayesian Inference, One-shot Learning and more. Experience deploying production machine learning models a plus. Strong programming skills with Python & C++ knowledge a must. Entrepreneurs wanted! Help us build and lead this team.

Software Engineer - Prediction

Zoox
San Francisco
5 days ago
In this role, you will help us build novel architectures for classifying and understanding the complex and dynamic environments in our cities. You will have access to the best sensor data in the world and an incredible infrastructure for testing, validating and deploying your algorithms. The prediction team’s role is to provide a probabilistic representation of the future state of the world; in particular, understanding what other vehicles, pedestrians, and cyclists will do next. We leverage both high-quality sensor data and high-level semantic information to produce data-driven models of the future. This representation is tightly integrated into our planning software to deliver a safe and smooth customer experience.

Software Engineer - Machine Learning / Robotics Data Engineer

Software Engineer - Machine Learning

Senior Software Engineer, Tools and Infrastructure

Sisense
San Francisco
1 week ago
+30
You’ll be developing tools and systems to enable our development teams to deliver world-class products even faster. We strongly believe in developer efficiency and work hard to eliminate friction and manual processes through automation and better platforms and workflows.

Senior/Staff Data Scientist (Recommendations)

Change.org
San Francisco
1 week ago
We are looking for a Senior/Staff Data Scientist who is great at prototyping, developing and tuning custom machine learning models on big data using a distributed computing framework, designing experiments & developing embeddings from textual data for modeling semantic meaning and transfer learning at scale and has a passion for expanding our platform to mobilize hundreds of millions of people to take deeper civic action.

Machine Learning Engineer (NLP)

Ginger
San Francisco
1 week ago
+30
Design, train and validate algorithms to derive as much actionable information from our data (text, media, activity etc) as possible. Engineer informative NLP features that allow us to summarize salient passages, infer quality of care, etc. Develop and deploy algorithms that boost coach and clinician awareness of member goals, status, history and probable future conditions. Write new algorithms to recommend specific personalized health-promoting content (e.g. modules in the app) based on a range of features. Integrate streaming activity and sleep data directly from the phone or via services to expand our capacity to provide meaningful insight and care.  Collaborate with engineers to integrate algorithms efficiently with backend production services . Work with product team to define solutions and integrate them into the roadmap. Help us scale our services using GPUs and modern distributed processing tools in the cloud (AWS). Dig into data with ad hoc analysis as necessary for technical, clinical, customer etc needs. Improve and help define the data team’s processes and tooling.

Machine Learning Researcher

Kite
San Francisco
1 week ago
Kite is well-funded by top investors in Silicon Valley, including the founders of PayPal, Stripe, Palantir, and Dropbox to name a few. We are looking to expand our 15-person startup with talented individuals who are interested in joining an early stage startup. The ideal candidate is excited to help guide the direction of our product and company. They will have a significant amount of ownership of critical technical components. Our team is growing rapidly and we hope you'll grow with us too! We are looking for a deeply experienced Machine Learning Researcher who is able to design sophisticated models to drive innovation in our product field. If you have a strong experience diving deep to build machine learning models, come join the team that's changing the way people code.

Machine Learning Engineer - Infrastructure

Nextdoor
San Francisco
1 week ago
You will be part of a scrappy and impactful team building a scalable ML platform in a rapidly changing company. In this role, you will focus on developing the underlying data processing infrastructure to support the ML platform in collecting data, labeling data, and using data to monitor model performance. You will also build infrastructure to train, serve, and monitor ML models. Finally, you will be responsible for building platform-wide model features that the entire company can utilize in building ML models. As a result, you will be laying the foundation for a critical part of Nextdoor’s mission.

Machine Learning Engineer - Product

Staff Machine Learning Platform Engineer

MetroMile
San Francisco
1 week ago
The Machine Learning Platform Engineering team is in charge of maintaining, scaling, and optimizing all of the operations involved in the machine learning development cycle. Our models process data from a variety of sources and rely heavily on terabytes of unstructured vehicle telematics data comprising billions of trips, creating unique challenges for this platform. As an ML Platform Engineer you will be responsible for designing, implementing and deploying backend systems and tools to support ML workflows. You will work closely with data scientists and other engineers to help build a platform that will boost Metromile’s competitive advantage in ML and AI technology.

Software Engineer, Machine Learning - Fraud

DoorDash
San Francisco
1 week ago
Formulate innovative approaches to combat fraud and reduce risk with the powers of ML. Create new features, train new models, deploy them into production environment. Contribute by extending and improving our ML frameworks and platform, creating next-generation capabilities.

Software Engineer, Machine Learning - Supply and Demand

Lead Software Engineer, Dispatch

Software Engineer, Machine Learning Infrastructure

Senior Computer Vision Engineer

Senior Data Scientist - Consumer & Merchant

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