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Triplebyte

Triplebyte runs background-blind programming interviews and helps engineers from all backgrounds get jobs.
Triplebyte is a hiring marketplace used by companies like Apple, Dropbox, Stripe, and Instacart to hire the best technical talent. We are on a mission to build a meritocratic hiring process, and we do all our evaluation background blind. Our ultimate goal is to collect the largest dataset and use this to build the world's best technical hiring process. No other company has successfully done what we're doing in this field. We are growing extremely quickly, working on a problem that is...
Role for: Front-End Engineer Full-Stack Engineer ML Engineer / Data Scientist
Remote and San Francisco Bay Area, CA
51 - 100 employees

Zoox

Zoox is a robotics company that builds software and hardware for self driving cars.
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.
Role for: Back-End Engineer DevOps Engineer Front-End Engineer Full-Stack Engineer Low-level Systems Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
501+ employees

Lattice Engines

Lattice Engines is a sales and marketing platform that collects customer data and predicts revenue generation from those customers.
Lattice is an early innovator in the hottest area of big data applied to predictive marketing. We combine thousand of data signals from our customers and partners, and extract key business insights using a variety of machine learning, ranging from random forest to deep learning, to better understand business drivers behind each purchase decision. We can help companies predict: Who is going to be your next customer? What will they buy? How much will they spend with you ? And when are they...
Role for: Back-End Engineer DevOps Engineer Full-Stack Engineer
San Francisco Bay Area, CA
101 - 250 employees

Sixgill LLC

Sixgill is a sensor data services platform that makes IoE application development easier.
Sixgill offers an end-to-end solution for the enterprise to manage machine learning deployments and data in real-time from the edge to the data center. We automate the Collect, Label, Train, Deploy, and Detect machine learning lifecycle with our Sense and HyperLabel products that make machine learning viable in the enterprise. Unlike other product only companies, Sixgill also builds models for clients for a wide variety of use cases and problem domains.
Role for: Back-End Engineer Full-Stack Engineer ML Engineer / Data Scientist
Los Angeles, CA, New York, NY, Remote, San Francisco Bay Area, CA, and Seattle, WA
26 - 50 employees

Eight

Eight sells a mattress and mattress cover that collect data on sleep patterns to help you sleep better.
Our mission is to fuel human potential through better sleep. We’re the first sleep fitness company, a NYC based startup backed with $67M by Founders Fund, Khosla Ventures, YCombinator, and more. We were named one of Fast Company’s Most Innovative Companies of 2018. We've just launched our temperature-regulated smart bed, the Pod. It's an absolute game changer, improving people's health and happiness by changing the way they sleep. The Pod is the first mattress to automate the sleep cycle...
Role for: Android Engineer Back-End Engineer Full-Stack Engineer iOS Engineer Low-level Systems Engineer ML Engineer / Data Scientist
New York, NY, San Francisco Bay Area, CA, and Toronto, Canada
26 - 50 employees

Deepcell

Deepcell provides genetic health information through standard blood draws.
Today, most blood-based genetic tests are exploratory and typically followed by an intrusive "real" diagnostic test. Our blood, however, is a treasure trove of information if handled properly. Truly diagnostic blood tests could dramatically change the way we manage our health personally and our healthcare as a society. Recent advances in various areas of science and technology have created a possibility for truly diagnostic blood tests. Deepcell is developing a disruptive technology based on...
Role for: Full-Stack Engineer
San Francisco Bay Area, CA
11 - 25 employees

Informed Inc.

Informed is aiming to streamline car buying by providing SAAS that makes it easier to find cars finance companies are qualified to finance.
Informed (https://informed.iq) helps banks accelerate their digital transformation with turn-key robotic process automation capable of performing real-time income verification, identity verification, residence verification, and insurance verification tasks. Banks use Informed to reduce their manual costs associated with reviewing documents, catch fraud, and cut down on errors when originating loans and opening accounts. Informed processes 4% of the auto loans originated in the United States...
Role for: Back-End Engineer DevOps Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
11 - 25 employees

Datatron Technologies

Datatron is a platform to build, test, and deploy machine learning models.
Datatron speeds up the AI life cycle model-management in today’s machine-learning paradigm by orders of magnitude. We deploy ML model deployment, scoring, monitoring, and model governance to enterprise clients in the financial, healthcare, and telecommunication sectors.
Role for: Back-End Engineer DevOps Engineer Full-Stack Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
11 - 25 employees

Onfleet, Inc.

Onfleet handles last-mile delivery logistics.
Onfleet's mission is to make last mile delivery efficient and delightful. Onfleet makes it easy for businesses to manage and analyze their local delivery operations. Our product includes intuitive smartphone apps for drivers, a powerful modern web dashboard for dispatchers, and automatic notifications and real-time tracking for recipients. Onfleet powers millions of deliveries every month, for hundreds of businesses around the world across a range of industries from grocery and prepared...
Role for: Front-End Engineer Full-Stack Engineer
Remote and San Francisco Bay Area, CA
26 - 50 employees

Even

Even helps smooth paychecks by paying out a consistent amount every week instead of lump-sums, and helps low-income people manage money.
Over half of Americans live paycheck to paycheck. We’re trying to fix that, by building new financial services that make it easier to make ends meet, pay down debt, and save money. And we’re doing it as a transparent, straightforward business that only profits when our customers do, too. We sell to employers to offer Even as a benefit. Employers offer Even to their people; in return, employers save money because Even improves employee retention.
Role for: Back-End Engineer Full-Stack Engineer
San Francisco Bay Area, CA
51 - 100 employees

Liftoff

Liftoff is a platform for targeting mobile ads.
At Liftoff, we’re solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning models and infrastructure that can accurately predict which apps a user will like and how to connect them in a compelling way. We work with small startups getting off the ground right up to large companies like Amazon, Airbnb and Nike. Our systems operate at a scale unseen outside of the largest Internet companies — processing over 2M requests per second and interacting...
Role for: Android Engineer Back-End Engineer iOS Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
101 - 250 employees

ScaleMonk

ScaleMonk helps mobile-first companies optimize their ad spending in order to grow their businesses.
At ScaleMonk we are building a product that will give mobile marketers access to state-of-the-art user acquisition capabilities. Without Scalemonk, the journey of building a user acquisition team can be very long. It involves hiring experienced and expensive marketers and data scientists, how to interact with each channel and how to understand the business value of each user. We want mobile marketers to be able to skip this very complex journey and to focus on developing their business....
Role for: Back-End Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
11 - 25 employees

noble.ai

Noble.AI creates AI tools to guide and streamline R&D.
Noble.AI is a software company building a new way to do R&D at 10X lower cost. Our software helps engineers, researchers & developers build better products faster by recommending the most relevant designs to their needs — empowering them to create a world filled with more innovation.
Role for: Back-End Engineer Front-End Engineer Full-Stack Engineer
Los Angeles, CA and San Francisco Bay Area, CA
11 - 25 employees

Reverie Labs

Reverie labs is a biotech company that makes pharmaceuticals.
At Reverie Labs, we’re building a pharmaceutical company from the ground up using computation—we’re a biotech company that looks and feels like a tech company. We're focused on using machine learning and computational scale to solve challenging problems in cancer drug discovery.
Role for: Back-End Engineer DevOps Engineer Front-End Engineer Full-Stack Engineer
Boston, MA
< 10 employees

Scale

Scale lets businesses "automate" tasks through a simple API by using ML to find people to do those tasks on their end.
Scale’s mission is to accelerate the development of AI by democratizing access to intelligent data. Ultimately, we're looking to build the AWS for AI, and data labeling is our first product. Our suite of managed data labeling services combine manual labeling with best in class tools and AI-driven checks to yield stunningly accurate training data. Scale is committed to continual innovation in combining humans with AI to prepare intelligent data, passing on these improvements to our customers...
Role for: Back-End Engineer Front-End Engineer Full-Stack Engineer Low-level Systems Engineer
New York, NY, Remote, and San Francisco Bay Area, CA
101 - 250 employees

Cylera

Cylera is a cybersecurity company that focuses on protecting medical devices.
Cylera is a VC-backed stealth startup creating a network-level cybersecurity solution to manage and protect connected medical devices, such as infusion pumps and CT machines, by applying machine learning techniques to network traffic. Our problem space is at the intersection of the virtual and physical, where insecure medical equipment serves as the interface between patients and the hospital network, and where a single device compromise could have potentially life-threatening consequences.
Role for: Back-End Engineer Front-End Engineer Full-Stack Engineer Low-level Systems Engineer
New York, NY
11 - 25 employees

Onehot Labs

Onehot Labs is applying machine learning to improve medical billing.
Onehot Labs is a healthcare technology company building cutting-edge machine learning technologies to eliminate administrative waste throughout healthcare systems.
Role for: Back-End Engineer Full-Stack Engineer ML Engineer / Data Scientist
New York, NY
< 10 employees

Fathom

Fathom is using artificial intelligence to code text from patient charts into healthcare billing systems.
We're building a deep learning system to structure and organize all the free text in patient medical records. Our first application for this system is automatically turning that text into health insurance billing codes. Each year, $3.5 billion is spent on using manual labor to solve this problem with only 83-85% accuracy achieved. Our financing was led by Google Ventures and 8VC and our engineering team comes from Google, Facebook, and Twitch.
Role for: Back-End Engineer DevOps Engineer Full-Stack Engineer Low-level Systems Engineer ML Engineer / Data Scientist
Remote and San Francisco Bay Area, CA
11 - 25 employees

wellio

Wellio is a meal kit company that lets users select a recipe, then delivers ingredients from local grocery stores.
Wellio was started with the goal to help people eat better. Its estimated that by 2030 almost half of the world's adult population will be overweight or obese. It will take many of us to make a change and we, at wellio, want to be part of the scalable solution. We are developing an intelligent platform and a suite of apps to support homechefs cooking at home. Our apps allow homechefs to have a digital chef, a personal shopping assistance and nutritionist to help support them while they...
Role for: Back-End Engineer Full-Stack Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
26 - 50 employees

Determined AI

Determined AI is a platform that allows engineers without ML experience to deploy neural network models.
We're working together to empower data scientists and ML engineers everywhere. Our customers are highly skilled ML engineers and domain experts working on exciting problems in biotech, hardware design, autonomous vehicles, and more. We interact with them to learn more about their data sets, modeling problems, and infrastructure, to help them with our product, and to improve our product offering.
26 - 50 employees

Facet

Facet is creating AI-based tools for artists.
Facet is building artist-centric applications that bridge the gap between tool and assistant, freeing artists to explore new ideas and produce better work. While media becomes increasingly personalized and topical, the process of creating art remains frustratingly manual. We use machine intelligence to amplify human creativity, allowing artists, designers, and creatives of every stripe to realize their visions simply and easily. We have just launched our first product, a web-based ML-powered...
Role for: Back-End Engineer Front-End Engineer Full-Stack Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
11 - 25 employees

Stockwell AI

Stockwell creates smart vending machines that sell everyday essentials and learn which products sell well in specific locations.
At Stockwell we're building the future of brick and mortar retail by shrinking the store and bringing it to where people already are - where they live, play, and work. Our cabinet-style microstores use computer vision to automatically audit your transaction and build you your receipt. Our team of engineers, logistics and retail experts are working to redefine the economics of last-mile distribution, combining the convenience and personalization of e-commerce retail with the immediacy,...
Role for: Back-End Engineer Full-Stack Engineer Low-level Systems Engineer
San Francisco Bay Area, CA
51 - 100 employees

Armorblox

Armorblox is an NLP-based cybersecurity platform.
Using the latest advances in natural language processing (NLP) and deep learning, Armorblox has built the world's first natural language understanding (NLU) platform for cybersecurity. Armorblox analyzes context, tone and writing styles across communications platforms, stopping today's biggest attacks by detecting and preventing inbound threats and outbound data loss.
Role for: Back-End Engineer ML Engineer / Data Scientist
San Francisco Bay Area, CA
26 - 50 employees

FINESSE

Netflix meets Zara - The future of fashion.
FINESSE is Zara meets Netflix - a vertically integrated fashion house leveraging AI on big data & community feedback to predict trends, forecast demand, and optimize distribution, producing hit sell-outs every time in record time & eliminating the guesswork and overproduction inherent to fashion today. Founded straight out of Stanford and backed by top investors across deep tech & consumer - including Lux Capital, MaC Ventures, Hoxton Ventures & the Sequoia Scout Fund - FINESSE is creating...
Role for: Full-Stack Engineer ML Engineer / Data Scientist
Los Angeles, CA
< 10 employees

Whisper.ai

Whisper uses machine learning in hearing aids to amplify only the voices and sounds of interest.
Whisper exists to improve the human senses. Our hearing aids uses deep learning to remove background noise so you can hear clearly in a restaurant or at home when the dishwasher is running – this is the number one complaint in the industry, and our recent results reduce unwanted noise by 10x any other brand.
Role for: Back-End Engineer iOS Engineer Low-level Systems Engineer
Technologies: C C++ Python Tensorflow
San Francisco Bay Area, CA
26 - 50 employees
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