Tensorflow Jobs - June 2018

Senseye | Austin, TX (ONSITE) | Full-time | $80k - $100k + Equity | Machine Learning Software Engineer | http://www.senseye.co/

Senseye aims to revolutionize the way humans communicate with technology. We are developing a unique, sensory interface technology to create a direct link from a computer to a human’s mind via the complex dynamic properties of the human eye.

We're looking for a machine learning engineer that loves solving meaningful problems to join our team in downtown Austin. We are a diverse group of people with a broad range of backgrounds, experience, and perspectives who have a lot of work to do and we're excited to have your help to achieve our visionary goals.

• From deep learning to gradient boosting, apply your experience and training to select, develop, and refine a variety of machine learning systems.

• Utilize frameworks such as TensorFlow, Keras, scikit-learn, Torch/ PyTorch, XGBoost, et al. to implement ML into production.

• Use your knowledge in an Object Oriented language (we primarily use Python) to write and maintain safe, clean, and testable code and combine your efforts.

• Sift through data to preprocess, feature engineer, visualize, and prepare for machine learning applications.

• Join forces with our research and engineering resources to interpret and apply existing research where possible and develop and conduct new trials when needed.

• Stay sharp by finding ways to grow your knowledge and help us to continually improve. We’re embarking on a new path, and don’t know everything that we don’t know yet.

• Find ways to apply your adaptability and flexibility. We're a small group and need all the teamwork we can get to reach our goals.

Apply here: https://senseye.workable.com/j/330EE30405

Dot Technology Corp. | Data Scientist/Deep Learning Engineer | Regina, Canada | Full-Time

We're building an autonomous tractor. Check it out at https://seedotrun.com. It needs to not run into things, so that's where you come in.

DOT: We successfully developed and manufactured an alpha prototype in 2017. Currently, we are manufacturing 6 beta machines to work the fields this summer.

Tech: LIDAR, radar, cameras, caffe, CV, CNTK, python, c++, tensorflow, aws

Duties: - Manage, train, and tune state-of-the-art deep neural networks - Evaluate and test sensors and sensor fusion - Test the product in controlled and real situations - Collect, process, and manage training data, including training and testing pipelines

If you're interested, email me at thomas (at) seedotrun (dot) 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: python scientific stack (pandas, numpy, scikit-learn, matplotlib, bokeh, etc). Software engineering: go, python, angular.js, react, javascript on aws and gce. Deep learning (e.g. convolutional networks) we're mainly using the python frameworks (keras, theano, tensorflow, etc).

Our team of 96 so far: http://www.recursionpharma.com/team

Dahlia Lights | Full Stack Software Engineer | Bay Area, CA | Full Time | Onsite | http://www.dahlialights.com

-- about us --

Lighting is a simple but powerful thing. It defines the look of a room and, if done properly, can amplify your home experiences. Unfortunately, not many people have the resources to get great lighting. The current options are either too expensive or complicated. At Dahlia Lights, we are working to bring great lighting to every home.

We are a small team of engineers working hard to get our first product out the door. We are exploring a number of different fun and useful ways to interact with light in the home. We focus on the intersection of sensing technologies and machine learning, and how the two working together can yield incredible results. If you’re interested in figuring out new ways to improve people’s lives, and want to be a core member of the team, come join us!

-- job --

As a full-stack Software Engineer at Dahlia Lights, you will be a core member of the engineering team defining and building a new kind of lighting product that will bring great joy to people’s lives. As an early member of the team, you will need to learn quickly and contribute to many parts of our product. You will also have a lot of freedom in choosing and defining the technologies and features we develop.

The wide range of potential tasks include scaling our cloud backend to handle lots of data, fortifying our data processing algorithms, developing for resource-limited Linux computers, working with smart light APIs, and building cross-platform mobile apps. The technologies we currently use are Python, React Native, Tensorflow, Google Cloud and Flask.

-- responsibilities --

- Make big contributions across our full product stack with thoroughly tested code. We are shipping a consumer product soon and everything should be built to work for thousands of users. - Take ownership and pride in everything you make. As an early member of the team, you will have a lot of autonomy in the work you do, make the most of it. - Be flexible in what you can do and the technologies you use. Since we are a small and fast moving team, what is needed of you will change. You have to be able to adapt, to learn new languages and technologies, and push for change if you see a better way. - Diligently safeguard user data. We deal with a lot of sensitive user information and we need to treat it with care throughout our product.

contact me at collin@dahlialights.com if you are interested in joining us!

Center for Clinical Data Science | Multiple Roles | Boston, MA | Onsite | Full-Time | Competitive Salaries | Sponsor Visas Machine learning is on the verge of transforming healthcare, and the MGH & BWH Center for Clinical Data Science (CCDS) is at the forefront of this revolution. We are a fast-paced startup embedded in two of the nation’s leading research hospitals, backed by industry partners like Nvidia, GE Healthcare and Nuance. We have access to millions of medical records, an on-prem GPU cluster, and a top-tier team from industry and academia. We work closely with clinicians to solve critical problems in patient care – our goal is to make real products that make a real difference in healthcare. Our tech stack includes Tensorflow, Python + Flask, React + Redux, RabbitMQ, Postges, and Redis

We’re hiring at all levels of seniority for a variety of roles including frontend SWE, full-stack SWE, machine learning engineer, and machine learning scientist. For more details, see (https://www.ccds.io/join-us/).

Symaps.io | Full stack | Paris, France | Full Time | Onsite | Open Compensation | VISA Symaps.io is a fast-growing tech startup located in Paris, Station F : it's an AI app that finds the best location for your business, currently used by clients in EU, Korea and Taiwan, incl. Tesla and Décathlon. We just closed a seed round and several contracts, and are urgently looking for motivated peoples to strengthen our team of 7 peoples (incl. 4 engineers). Esp. we're hiring a Full stack engineer. Our stack : Python, React, Machine learning (scikit-learn / Tensorflow / Caffe2), Kubernetes, PostgreSQL / PostGIS, Docker More details here : https://jobs.stationf.co/companies/symaps-io-1/jobs/wanted-n...

Audatic | Berlin, Germany (ONSITE) | Full-time | Visa | Deep Learning & Performance 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++ (Performance Engineer)

We are looking for smart and curious people who want to dig deep into neural networks. Apply now at http://audatic.ai.