Audatic | Berlin, Germany (ONSITE) | Full-time | Visa | Deep Learning, Performance, Mobile and Software Engineer | http://audatic.ai Audatic is building systems to intelligently modify sound using state of the art deep learning technology and unique datasets. Our personalized sound environment allows users to customize sounds to their individual taste. Applications include effortless interactions in noisy places (especially for people with hearing impairments), and realistic audio-environments for augmented reality. We are a young, driven and dynamic team with the vision to change people’s lives. We value each team member and opinion equally and count on everyone’s contribution to make our vision come true. You are encouraged to constructively challenge our ideas and can expect to be involved in the decisions that shape the future of our company.
Tech: Python, Tensorflow, AWS, C & C++ (Performance Engineer), iOS and Android (Mobile Engineer)
We are looking for smart and curious people who are thinking in code and want to make a difference. Apply now at http://audatic.ai/apply-now/
Tamber | First Hire, ML Engineer | San Francisco / Remote Ok | https://tamber.com
Love deep learning? Want to experiment with your so-crazy-it-just-might-work ideas and ship code? Come be our first hire (potentially a cofounder) and help build head-scratchingly accurate recommender systems for the masses.
Tamber is enabling developers to put 10x better personalization into their apps just by tracking user actions (in the same way they already do for analytics services like Segment and MixPanel). We are growing fast with awesome customers (TBA but roster includes some YC companies), and just raised a round of funding from some of the best angels in SF (a couple are listed on our AngelList profile).
We are looking for someone who knows a bunch about ANNs and TensorFlow, something about recommender systems and Golang, and a ton about writing good code and shipping it. You should also be interested in building a company – or at least intellectually curious.
Resumes are good, but what we really want to see is hard evidence that you are going to be exceptional on our team. Github repos, competition rankings, and anything cool you have built, in whatever form it takes.
We're in San Francisco and we would like for you to be here too. We can be flexible for the right person, however.
alexi@tamber.com
Recursion Pharmaceuticals | SLC, Utah | Onsite, full-time | We have raised over $80M to apply machine learning to one of the most unique datasets in existence - tens of millions of images of cells under a huge number of biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives - we want to understand biology so well that we can fix most things that go wrong in our bodies. Among other awesome folks, Yoshua Bengio is one of our advisors, and helps our ML team come up with novel ways of tackling these problems.
We’re looking for:
* ML researchers: Looking for a highly experienced senior/principal-level machine learning researcher who wants a challenging problem, lots of rich data, and knowledge that their breakthroughs will seriously help people. No bio background needed.
* Biologists, computational biologists, automation scientists, and drug discovery experts. http://www.recursionpharma.com/careers for more details and to apply.
Logistics: Salt Lake City, Utah. Hiking/running/biking is literally out our back door, and it's half an hour to 5 ski resorts. Great pay, health insurance, 401k, relocation assistance (onsite is required), equity, a top-caliber team, and help make a massively positive impact. Happy to sponsor/extend visas, but you need to already be authorized to work in the US--we can’t handle the lottery at this stage.
Tech: Data science: pydata stack (pandas, numpy, scikit-learn, matplotlib, bokeh, tensorflow w/keras, etc), a cluster of GPUs for all your research ideas Software engineering: python, clojure[script], javascript, go, react.js, kafka, kubernetes (GKE), GCE, AWS
Our team of 98 so far: http://www.recursionpharma.com/team
Dynasty | Engineer | LA / Venice, CA | ONSITE
We are automating jobs, starting with leasing. Our business is growing fast and we really need 1-2 more engineers to help expand our bot’s capabilities, consolidate, simplify, and scale.
We are very early stage; there are six of us, and we started in Summer 2017.
Our first product is Lisa, a bot that leases houses and apartments. Our clients now include some of the biggest groups in institutional real estate. Onboarding is effortless—clients hire Lisa as if she were a human employee.
Prospects have no idea they're talking to a bot--they perceive a human leasing agent named Lisa, texting from a nearby area code. If there's a question the bot can't answer, it goes to human fallback. Most messages are full auto.
Speaking for myself, this is one of the most fun and technically challenging projects I’ve worked on. Speaking for the business, our unit economics are excellent.
We offer competitive salary and above-market equity.
Required: speed, pragmatism, a penchant for simplicity, and a history of shipping
Nice to have: NLP expertise, Tensorflow experience. Java. React, Flow, GraphQL/Apollo. Node. Open source contributions.
(Any of these are positive but none are required. Tell us a bit about what you're comfortable with & what excites you.)
If you’re interested, please email me. dc@dynasty.com
Determined AI | San Francisco, CA | Remote (SF preferred).
We build software to make deep learning engineers dramatically more productive. Founded by leading experts in distributed systems and machine learning, our product is a complete ML environment that enables teams of DL engineers to share a GPU cluster, do efficient hyperparameter tuning, and train/deploy deep neural networks up to 100x more quickly than with state-of-the-art tools. We are well-funded and have significant customer traction.
The team is deeply technical and working at the cutting edge of modern ML infrastructure, but we also care about building practical technology that solves real problems for our customers.
We’re hiring exceptional software engineers to play a fundamental role in building the company and shaping the culture. We're particularly interested in
(1) Distributed Systems Engineers who are passionate about building scalable, reliable software.
(2) Full-stack Engineers who believe that building enterprise software doesn't mean that great UX is optional.
(3) ML Engineers with a strong algorithmic and statistical background, as well as hands-on experience building deep learning applications.
Tech Stack: Python, Go, Elm, Kubernetes, Mesos, Docker, TensorFlow/Keras/PyTorch.
Compensation: Competitive salary and benefits, meaningful equity stake.
https://determined.ai/careers/
neil@determined.ai
Merantix | {Machine Intelligence, Software, Frontend, Backend} Engineer | Berlin | Full-Time, Internship, Onsite, Visa assistance | http://www.merantix.com Merantix conceptualizes, builds and scales AI ventures. Our team is made up of entrepreneurs, scientists, physicians and engineers from premier universities in Europe and North America. Many of us have PhD’s and work experience at top tech companies. We’re based in Europe’s startup capital, Berlin, and are growing quickly!
We are looking for Data and Machine Intelligence Engineers to join our core team to help us develop impactful applications of machine learning across a range of fields. We deploy to Google Cloud Platform, leveraging Tensorflow, Apache Beam, Google Cloud ML, and Docker.
You will:
* Research and prototype state-of-the-art deep learning models * Design terabyte-scale data pipelines * Iterate on building and analyzing products to uncover scalable businesses Further, we're also hiring Frontend and Backend engineers for our medical project team which is making healthcare more efficient through machine learning. There, you will: * Work on a very challenging browser-based medical application in ClojureScript / Django
* Have a tight and efficient feedback-loop with physicians (two of which work here full-time) * Interface with our Machine Learning models. Have a look at our job openings here: https://merantix.bamboohr.co.uk/jobs/
Petuum | Senior Software Engineer, Senior Data Scientist | Pittsburgh, PA | ONSITE, VISA | http://www.petuum.com/careers.html
Petuum is building a platform for easily running distributed machine learning.
The company was spun out of a Carnegie Mellon research group about two years ago, and we have raised $108 million through Series A + B funding to support our rapid growth.
The Petuum development platform and gallery of AI building blocks work with any programming language and any type of data, allowing managers and analysts to quickly build AI applications without any coding, while engineers and data scientists can further enhance applications as needed.
What we look for: Competent engineering acumen. 3-5 years of relevant industry experience in some/most of the following:
* For front-end engineering: Typescript, Angular and D3.
* For back-end engineering: Python, C++, Go, CUDA, Spark and Kubernetes.
* Data science: Building and deploying a production-quality TensorFlow/PyTorch/DyNet model. Working with popular Python data science libraries. Background in statistics/optimization/computer vision/ natural language processing.
We are hiring for our Pittsburgh and Sunnyvale offices.
Facet | San Francisco, CA | Software Engineers | Full-time | Onsite
Facet is harnessing machine intelligence to make photo editing quick, collaborative, and scalable. We understand that pictures are more than just pixels, so we're building a platform that lets creative professionals edit whole collections of photographs in terms of the people, objects, and colors they contain.
To build this platform, we need engineers (like you?) who can think deeply about complex systems and empathize with artists, and are also curious, respectful, and creative. We use Typescript, React, WebGL, GraphQL, Postgres, Node, Python, Tensorflow, and Terraform, but it's not a big deal if you haven't.
We're seed funded -- backed by great VCs, former Dropbox execs, and AI researchers from Google Brain and Salesforce -- and building out our founding engineering team in SF.
If you'd like to talk, I'm the CTO and you can drop me an email at matt@facet.ai.