Machine Learning Jobs in San Francisco

28

Engineering Manager, Machine Learning Infrastructu…

DoorDash
San Francisco
2 days ago
You will lead a team that will work alongside our Data Scientists and Product Engineers to collaborate on various ideas and ensure that there is a highly reliable, world class platform to run their ML models on. You will lead the team to help implement and operate an intuitive, easy to use and pluggable ML Workflow framework. You will help build high performance and flexible pipelines that can rapidly evolve to handle new technologies, techniques and modeling approaches. Inspire your team and others with technical vision and customer obsession in the area of Big Data/ML/AI. Recruit and retain talented software engineers focused on ML/AI. Rolling up your sleeves with hands on contributions when necessary. Maintaining a positive and supportive work culture. Coaching, mentoring and providing career guidance.

Software Engineer, Machine Learning

Software Engineer, Machine Learning Infrastructure

Software Engineer, Search & Personalization

Senior Computer Vision Engineer

Senior Data Scientist, Machine Learning

Load 2 more jobs6 jobs at DoorDash

Perception Machine Learning Engineer

Ike
San Francisco
3 days 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.

Staff Deep Learning Scientist

Unity Technologies
San Francisco
3 days ago
+33
Spearhead and drive the implementation of new solutions, architectures, data science and machine learning paradigms. Find ways to get the best out of current models powering different products. Keep up with the current state-of-the-art in machine learning. Convey ideas, guide execution and mentor junior team members to implement high-quality data science and machine learning based products. Participate in and initiate defining new business opportunities and products.

Research Scientist (PhD), [email protected]

Senior Machine Learning Engineer

Instacart
San Francisco
3 days ago
OVERVIEW We're looking for experienced machine learning engineers to join our fast moving team. We work on a range of interesting and challenging problems, from making sure deliveries are efficient and on-time to helping customers decide what to buy. Machine learning is at the heart of this effort and an essential ingredient in Instacart's aggressive growth plan and vision for the future. We love machine learning engineers who are motivated not

Lead Data Scientist - Underwriting Algorithms

Faire
San Francisco
6 days 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 Engineer

The Athletic
San Francisco
1 week 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
1 week 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
1 week 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.

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

Senior Software Engineer, Machine Learning

Chime
San Francisco
1 week ago
In this role, you’ll be a part of the Machine Learning and Data Science team that combats fraud, improves member experience, creates recommendations for users and much more . You’ll help implementing ML models in production and help build the infrastructure to train, deploy, track and measure them. 

Senior Machine Learning Engineer

Senior Backend Engineer, Channels

Reddit
San Francisco
1 week ago
Ship new experiments and scale winning features to improve our real-time messaging systems. Work closely with PMs and other engineers to creatively develop and execute the right features with consideration for all of the people on our platform. Continuously develop your skills and expertise. Build infrastructure and frameworks to empower rapid product iteration at scale. Use experimentation to get quantitative data on user behavior.

Senior Data Scientist

Earnest
San Francisco
1 week ago
As a Senior Data Scientist, you will report to the Head of Data and work on full stack-data science. Our modelers and engineers partner and own everything from data sourcing/ETL to model creation/testing and model deployment/maintenance. You will do compelling modeling and also work on state-of-the-art engineering.

Senior Software Engineer, Machine Learning

Optimizely
San Francisco
1 week ago
+34
We are looking for a talented engineer to help us build machine learning features and products to automate our customers’ journeys through complex experimentation hypotheses and analyses. This is a unique opportunity to work on a small team and own a large part of Optimizely’s machine learning strategy. Our core challenges are to build the right set of features that enable 1:1 personalization and automated optimization for our customers.

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.

Machine Learning Researcher

Kite
San Francisco
2 weeks 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 Platform Engineer

KeepTruckin
San Francisco
2 weeks ago
We’re looking for passionate engineers to work on KeepTruckin’s Data and Machine Learning group. As an early member of our team, you will spearhead KeepTrucking’s efforts to utilize petabyte-scale telematics, vehicle data, videos and various customer and derived data through efficient storage, transformation, retrieval, modeling and serving.

Data Platform Engineer

Machine Learning Data Scientist/Engineer

Ironclad, Inc.
San Francisco
2 weeks ago
We are looking for an experienced Machine Learning Engineer to build out an intelligent contract platform, requiring machine learned models to extract insights from the contract process and contract text itself. As a Machine Learning Engineer, you'll be working across the team to identify business problems and design and build systems to apply data solutions to them. You'll be building a platform that lets lawyers scale themselves 100x more effectively. This is a chance to bring a two thousand year old profession into the digital age and ship a product to paying users that can’t live without it.

Machine Learning Infrastructure Engineer

Figure Eight
San Francisco
2 weeks ago
In this role, you will be the part of a small team solving very interesting technical problems at the intersection of various exciting domains like Machine Learning, Big Data, Distributed Systems, Cloud Computing, and High-Performance Computing. Your work will have an enormous impact on Appen's long-term success. This is a role that will be supporting the greater Appen team in the SF Bay Area. Our team is located in the Bay Area, but you will have the opportunity of working with other Appen team-members located in our Shanghai and Sydney offices. If you are looking to make a huge impact on the AI world and rise with a leading data company that has a start-up culture as we continue to grow, Appen is the place for you.

Senior Search Engineer

Eventbrite
San Francisco
2 weeks ago
Join our Consumer engineering team and help make Eventbrite an indispensable platform for finding the best events anywhere in the world. You'll build products that deeply understand the interests of users so we can re-engage them with the right events at the right time. You'll work directly with Product Management, Product Design, and Data Analysts to get a deep understanding of how our users explore our inventory and you will architect the systems to most effectively satisfy our users’ needs.

Machine Learning Scientist

PlanGrid
San Francisco
2 weeks ago
We are looking for someone comfortable working with both cutting edge deep learning techniques and leading customer sessions. ML Scientists on our teamwork shoulder to shoulder with product managers, UX designers, engineers, and legal to identify new opportunities and deliver production quality ML features. As the central machine learning team @ ACS, we are responsible for scaling machine learning to multiple product teams and work on a wide variety of ML problems. i.e., the work is never dull.

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