ExecVision | Sr Software Engineer | Arlington, VA | Full-Time | On-Site or Remote
We're building conversation analytics to help our clients understand and use what's going on in their phone calls. Our tech stack: React, Python, Kotlin, Postgres, ElasticSearch, Keras, Tensorflow. We're looking for full stack engineers with either Python, Java, or Kotlin, some frontend experience, and a passion for creating great product.
careers@execvision.io
Memrise | Full-Stack (Python) & Mobile Engineers | London (relocation available) | https://www.memrise.com
Memrise gives people learning superpowers. We aim to help anyone achieve confident, real-world language skills in just a few short months; our product is innovative and fun, and it delivers the goods.
Last year, we won the "App of the Year 2017" at the Google Play Awards. With near zero marketing spend we've grown organically to tens of millions of users, and we're already profitable with a team of 55 (comprising 37 nationalities).
We are expanding and looking to fill the following roles immediately:
* Mid-level and Senior Full Stack Engineers
* Senior iOS Engineer
* Senior Android Engineer
We use Python 3.6 / Django / MySQL running on Kubernetes for the backend and React/Redux on the frontend. The iOS and Android apps are regularly featured native apps written in Obj-C/Swift and Java.
We also have some ML-based features to work on using Tensorflow / Keras / CoreML (NLP and image processing).
If you're interested in any of these engineering jobs - or if you are just awesome and think we'd be a good place to show off your talents - please apply at https://www.memrise.com/jobs/
If you don't see a specific role on the jobs page that you fit, please apply for the "Speculative Application".
Voltaiq | Battery Analytics | SF Bay Area | Brooklyn, NY | Multiple Positions: $110k-$180k | Onsite
“The battery is the technology of our time.” -The Economist, January 16, 2016
Voltaiq's cloud-based Battery Intelligence software platform brings unprecedented data analytics, visualization, and predictive capabilities to any company with a battery-powered business model. Top automakers, consumer electronics, and energy storage companies use Voltaiq to accelerate product development, improve performance, ensure safety and reliability, and secure financing for their products. Our high-powered team comprises PhD scientists, expert data professionals, and battery industry veterans, all passionate about enabling the global energy transition. Voltaiq has offices in Brooklyn, NY and Berkeley, CA, serving customers around the world.
Positions:
- DevOps: build and deployment automation on AWS cloud and others.
- Data Engineer: data pipeline, data API and machine learning platform.
- Data Scientist: data analysis and visualization, feature extraction and machine learning.
- Backend / API Engineer: business logic, data models, and API.
- Non-Developer jobs available as well: http://voltaiq.com/about-us#jobs
Candidates should be:
- Strong coders in one or more of: Python, Javascript, Java, C/C++, Go.
- Experienced with Git, development on Linux, SQL and relational databases.
- Degree holders in CS, Physics, Math, Engineering, or related.
- Passionate about energy and solving hard science problems using data.
- US Citizens.
Our Stack
- Frontend: AngularJS, SASS, Gulp, Jasmine, Selenium, Plotly, Vue.js.
- Application: Django, Python, Pytest.
- Data Engineering and Database: Java, Scala, Postgres, Elasticsearch.
- Data Analysis/Visualization: Numpy, Pandas, Matplotlib, Plotly, Scikit-Learn, TensorFlow.
- Deployment: AWS, Salt, Fabric, Nginx, uWSGI.
Competitive salary plus equity and full benefits.
Send a resume to jobs@voltaiq.com.
Full job descriptions are on our website: http://voltaiq.com/about-us#jobs
Thanks, HN!
Triage | Developers (Rails, ML/AI, iOS, Android, React, FED), Designers | Remote | $60-100k + equity
Triage (https://www.triage.com) is applying artificial intelligence to medical imaging to make health advice more accurate, affordable and universally accessible. Triage has developed an app that can instantly detect skin cancer and other skin problems. We are looking for talented software engineers to join us.
Our goal is to save lives by making skin cancer screening universally accessible. 1 in 3 cancer diagnoses in the United States is for skin cancer and 1 in 5 Americans will develop skin cancer in their lifetime. The five-year survival rate of melanoma, the deadliest form of skin cancer, declines from 98% at its earliest stage to below 20% at the later stages. With Triage it is now possible to snap a photo and instantly see visually similar conditions, including deadly skin cancers like melanoma. As an early stage member of the team, you will have a great opportunity to influence architecture and product direction.
Technologies: Rails, React, Python, Tensorflow, Keras, Swift, Kotlin, MySQL/Postgres
Send us a note to learn more: jobs@triage.com or visit https://www.triage.com/careers.
Kinetica (GPU-powered-DB) | Full-time | ONSITE | Arlington VA/DC
Hiring ML Product Engineers at 3 levels and many other positions.
We're a GPU-powered distributed DB and building the next naturally adjacent product line -- good ML and Data Science integrations to allow distributed model training well integrated with distributed data. Think large scale with high end hardware and distributed model training with real world data.
For company details, job description and qualifications, please see: http://smrtr.io/30N36A
At a high level: Python, TensorFlow, Mesos, Kubernetes, Neural Networks, and Product Engineering
Caper (YC W16) | Head of Machine Learning | $100k - $150k + equity + benefits | Fulltime | ONSITE in New York | CaperLab.com
Caper Labs (Y-Combinator W16, www.caperlab.com), focuses on compacting Amazon-Go's technology (image recognition, sensor fusion and AI) into a smart shopping cart, allowing each shopper to toss their groceries into our smart cart and self-checkout. Help us transform physical retail!
What we want: - Lead Computer Vision and Deep Learning development, architecture design and implementation. - Design and implement custom computer vision algorithms and architectures. - Collaborate with hardware team to better apply CV and DL technologies into embedded system.
About you: - MS/PhD degree in Computer Science, Math, related technical field or equivalent practical experience. - One year of CV and DL experience or equivalent and built at least one CV/DL system before. - Familiar with CV and DL fundamentals like feature extraction, convolutional neural network, supervised machine learning, transfer learning etc. - Familiar with one of the the DL frameworks and tools like Tensorflow, Keras, Caffe etc. + OpenCV. - Understand GPU and CUDA. - Share our vision!
Lets chat or grab a coffee! Drop us a line at jobs@caperlab.com and we will take it from there.
HHMI Janelia | Software Engineer (computer vision) | Ashburn, Virginia | Fulltime | Onsite
We are looking to hire a software engineer for at least one year to work on the implementation of automatic neuronal arbor reconstruction from volumes of electron microscopy: a central problem in the emerging field of large-scale cellular connectomics.
The work will be centered on bringing automation to the software CATMAID[0], in particular by applying flood-fill networks and their tensorflow implementation[1] to build a workflow that will speed up the work of dozens of laboratories already using CATMAID for computer-assisted yet manual reconstruction of neurons for mapping wiring diagrams with synaptic resolution.
The engineer will be embedded in the Cardona lab at Howard Hughes Medical Institute Janelia Research Campus[2], among computer scientists and neuroscientists working together to map the wiring diagram of complete brains at synaptic resolution.
Optionally, solve an open GitHub issue for CATMAID, submit a pull request, and include this with your CV and statement. Applications including a pull request for an issue will be given priority consideration.
Official listing and more information: https://hhmi-openhire.silkroad.com/epostings/index.cfm?fusea...
[0] https://github.com/catmaid/catmaid [1] https://github.com/aschampion/diluvian [2] https://www.janelia.org/lab/cardona-lab
Asimov | Software Engineer, Machine Learning Engineer | Boston, MA | Full-time
Hi from Asimov! We’re a small team of HNers fresh off of our seed funding lead by Andreessen Horowitz. We’re fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. We’re building our our initial software team and need help with everything at the intersection of infrastructure, software systems, data ingestion and storage and machine learning for predicting optimal genetic circuit design. Check out some of our work at www.github.com/CIDARLAB/cello and our mission at www.asimov.io/blog
Search Keywords: deep learning, sequence to sequence learning, bioinformatics, cloud infrastructure, python, tensorflow, microservices, biotech, Boston, Cambridge
Prerequisites: * 4+ years hands on experience as a SWE or ML engineer in industry * Excitement to learn a tremendous amount about genetics, bio hacking, genetic circuit design * Excitement to autonomously improve our product with your experience in designing software and/or ML systems
Perks: * Flexible working hours, develop when you are most productive * We believe in creating a lifelong company by avoiding burnout and focusing on long term impact * We value impact over hitting arbitrary deadlines * Frequent team lunches, happy hours, and a coffee lab * Cross pollination: We’re an awesome team of scientists from diverse technical backgrounds
If you’re interested please send me an email at joe@asimov.io or apply online at www.asimov.io/careers
Hail @ Broad Institute of MIT and Harvard | Software Engineer / Senior / Principal | Boston, MA | ONSITE, https://hail.is, SALARY:$80k-200k
The Broad Institute of MIT and Harvard was launched in 2004 to improve human health by using genomics to advance our understanding of the biology and treatment of human disease, and to help lay the groundwork for a new generation of therapies.
The Hail team's mission is to build tools to enable rapid analysis and exploration of biological datasets (100s of TB and tripling yearly). We are committed to open science and everything we do is open source. We currently develop in Scala, Spark, Python and C/C++ but will use any tools we need to get the job done. Come help us build the future of big scientific data analysis.
We have multiple positions open:
1. We're looking for skilled senior/principal engineers who have a solid CS/engineering background, can quickly write clear, correct code and have experience working on large, complex projects.
2. We have an opening for an ML engineer. Solid CS/engineering background a must. Experience with modern deep learning frameworks (e.g. TensorFlow) and deep learning models required. Experience with Bayesian methods a plus. Experience with RNAseq data analysis a plus.
3. We have an opening for a front-end software engineer with a focus on scientific data visualization. You have experience with data science tools in Python or R and know JS and JS visualization technologies like D3. Bonus if you know React, Redux, node and deployment tools (Docker, k8s). Bonus if you have a portfolio. You will be the first front-end person in our group and will have the opportunity to set the vision.
4. We have an opening for a distributed systems engineer. Help design the architecture that will allow to derive scientific insights from petabyte-scale datasets now and scale 3x/year for the foreseeable future.
5. We have an opening for an engineer to support the Genome Aggregation Database (gnomAD) project. gnomAD is among the most comprehensive catalogues of human genetic variation in the world, and one of the largest genetic datasets. Analysis results are shared publicly and have had sweeping impact on biomedical research and the clinical diagnosis of genetic disorders. See gnomad.broadinstitute.org.
6. We have an opening for a new grad to start summer 2018. Apply https://broadinstitute.wd1.myworkdayjobs.com/en-US/broad_ins...
You don't need experience in biology or our particular technologies. We work in a highly multi-disciplinary environment (with software engineers, biologists, bioinformaticians, doctors, operations and mathematicians). Self-improvement is a fundamental part of our culture. You must be excited to be challenged and learn new things.
I'm the hiring manager. Get in touch with me directly if you have any questions: cseed@broadinstitute.org.
You can learn more about the project here: https://hail.is/
Recursion Pharmaceuticals | SLC, Utah | Onsite, full-time
We just closed our $60M series B to apply ML and data science to our lab's hundreds of millions of cellular images to find treatments for hundreds of diseases. Our long term vision is to use images and many other kinds of experiments plus modern ML to solve cellular biology enough to fix most things that go wrong in our bodies. Among other awesome folks, Yoshua Bengio is an advisor, and he helps our ML team come up with novel ways of tackling these problems.
We’re looking for:
* Data Scientists/ML researchers: Looking for highly experienced senior/principal-level data scientists and machine learning researchers who want 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 75 so far: http://www.recursionpharma.com/team
Merantix | {Machine Intelligence, Data, 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 * 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/
Liv.ai | Software Engineer, Machine Learning Engineer | Bangalore, India | Full-time
Hi from Liv.ai! We’re a small team of hackers and scientists based out of Bangalore well funded by top VCs in India and part of the Microsoft Accelerator here. We’re fueled by a vision to give voice to a billion Indians through our state of the art deep learning infrastructure. We’re building our our initial software team and need help with everything at the intersection of infrastructure, software systems, data ingestion and storage and machine learning for speech to text, natural language engines and other language understanding systems.
Search Keywords: Deep learning, neural networks, machine learning, data science, Android, NDK, cloud infrastructure, python, tensorflow, microservices, dev ops, django
Prerequisites: * 2+ years hands on experience as a SWE or ML engineer in industry * Excitement to learn a tremendous amount about AI, Scalability, Backend Infrastructure, Web, Mobile
Perks: * Flexible working hours, develop when you are most productive * We believe in creating a lifelong company by avoiding burnout and focusing on long term impact * We value impact over hitting arbitrary deadlines * Frequent team lunches, happy hours, and unlimited snacks at pantry
If you’re interested please send your resume at saumye@liv.ai with HN in the title.