Tensorflow Jobs - October 2020

Prune AI | New York, NY | Senior Full-Stack Engineers, Senior Backend Engineers | Full Time | Remote (US) or Onsite (NYC)

Prune.ai presents a scientific approach to social media marketing. We are building an AI-powered marketplace to help businesses promote their products with word-of-mouth on social media. We have an MVP in stealth mode and are currently testing in closed beta.

We are looking for: * Experienced Full-stack/frontend engineer (React, bootstrap, HTML5/CSS, Django)

* Experienced Backend Engineer (Python, Django, PostgreSQL, AWS and/or Azure, Scala and experience with Spark preferred)

* Machine Learning Scientist (Python, Tensorflow or PyTorch, R or Matlab, Docker or Kubernetes, Scala and experience with Spark preferred, Masters+/PhD preferred)

The engineering team works directly with Machine Learning Scientists, so there is an opportunity for significant technical learning. Our team includes a PhD, ex-Amazon, and people with 10+ years of experience. Our team of 5 is fully remote at the moment, but we'd prefer applicants from the US to maximize time-zone overlap.

MORE INFO: https://www.prune.ai/index.php?utm=hkn APPLY HERE: https://angel.co/company/prune-ai/jobs

SkyhawkTx | Platform Engineer (Data+DevOps) | Boston, MA | REMOTE start, eventually ONSITE preferred | Full-Time | https://skyhawktx.page.link/platform_engineer

Skyhawk is committed to discovering, developing and commercializing small molecule therapeutics that correct RNA splicing (e.g. Evrysdi). We work on some of the world’s most intractable diseases including cancer, neurological conditions, and other therapeutic areas/targets previously considered “undruggable.”

Skyhawk is looking for a multi-talented Data and DevOps engineer to join our Platform team. In this role, you will work closely with a diverse team of world-class scientists and engineers. You will help us accelerate Skyhawk’s novel drug discovery and development platform, SkySTAR. Your primary responsibilities will be to design, implement, deploy, and maintain data-processing and -modeling toolbox that powers collaborative interactions between scientists on our platform and makes optimal use of our rich in-house data. This is a key technical role providing many opportunities for significant impact and growth. You will learn from a cross-functional team of experts in Machine Learning, Bioinformatics, Genomics, Structural Biology, Chemistry, and Drug Discovery. You will manage unique scientific data, help grow Skyhawk’s collaborative data science culture, and ultimately enable better health for our patients!

Primary Responsibilities:

• Design, implement, and maintain ETL workflows from multiple internal & external data sources

• Deploy and maintain a data warehouse that cleans and fuses data for our cloud ML workflows

• Utilize cloud APIs to support the prototyping, training, and deployment of predictive models

• Continuously deploy predictive models and insights curated from them to interactive dashboards

• Record usage analytics and gather expert feedback on predictors to improve our ML workflows

• Establish robust CI/CD practices for our code, data, and results to minimize technical debt

• Collaborate widely across the entire R&D team to codify their insights and meet their use cases

• Manage project timelines and schedules of projects with internal personnel and external vendors

Education/Skills/Experience:

• BS/MS in a technical field or related background with at least 3 years of practical experience (preferred: Computer Science, Applied Math/Statistics, Physics, Chem/Bio Engineering)

• Expertise in one or more general-purpose programming languages (we use: Python, R, Perl, Julia)

• Demonstrated ability to write production code (readable, maintainable, tested, and documented)

• Demonstrated experience in building cloud-based data infrastructure (we use: GCP and AWS)

• Experience with wrapping & deploying models from ML frameworks (we mainly use: Keras and TensorFlow)

• Familiarity with user-facing web services and applications (we use: Spotfire, Jupyter, R/Shiny, Dash)

• Proficiency in Linux (including shell scripting), experience with database languages (SQL or No-SQL) and experience with code/data/workflow version control practices and tools (we use: git/dvc/cml)

• Experience with biochemical and genomic data is a plus (we use: RNA sequences, chemoinformatics)

• Ability to manage multiple projects simultaneously and manage priorities flexibly.

• Excellent written and verbal communication skills; organizational and documentation skills.

• Relaxed and fun attitude that helps good culture building. Passion for improving people’s health!

More info and application instructions at: https://skyhawktx.page.link/platform_engineer

HyperCube | Software Engineer: Distributed Data Systems | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/7bf4a2f63us

HyperCube is pioneering a Deep Learning platform for information retrieval. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.

We’re looking for a distributed systems engineer who is an expert of database internals, and well-versed in information retrieval.

If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s an opportunity to join an exciting startup as one of the early employees.

You should have:

* At least 4 years of experience as a Software Engineer

* Extensive experience in database internals and information retrieval

* Experience in building web-scale services and distributed systems

* Proficiency in at least one scripting language, such as Python

* Proficiency in at least one compiled language, such as C++

While not necessary, it would also help to have experience with either embeddings, nearest-neighbor search, productionizing ML models, or DL frameworks (such as TensorFlow, PyTorch).

Apply here: (NYC) https://grnh.se/7bf4a2f63us (SF Bay Area): https://grnh.se/8af359d63us (Tel Aviv): https://grnh.se/ef65badd3us

One Medical | San Francisco, CA or Austin, TX | Full-time | https://www.onemedical.com/careers/

One Medical is the fastest-growing primary care system in the country with over ~100 locations in major cities nationwide such as Boston, Chicago, Los Angeles, New York, SF, DC, Atlanta, and most recently, Austin. Technology has been a key to our success and we believe in building as much of it in-house as possible. Depending on your department, these are some of the core technologies you can expect to interface with: Angular, Python, AWS, Spark, Ruby, MySQL, Android, GraphQL, Java, Cypress, Hadoop, PySpark, Tensorflow, AI/ML

- Senior Security Automation and Tooling Engineer - (SF or Austin) https://www.onemedical.com/careers/security/ - Senior Application Security - (SF or Austin) https://www.onemedical.com/careers/all-departments/2298809/ - Security IR - (SF) https://www.onemedical.com/careers/all-departments/2247894/ - Sr. Security IR - (Austin) https://www.onemedical.com/careers/all-departments/2326174/ - Infrastructure Security (SF or Austin) https://www.onemedical.com/careers/all-departments/2344612/ - Engineering jobs (SF) - https://www.onemedical.com/careers/engineering/ - Clinical/IT/Doctors/Legal/Marketing/Operations/Sales/etc - https://www.onemedical.com/careers/all-departments/

Our investment in technology and focus on preventative healthcare has allowed us to help address the current covid crisis. We've been doing telemedicine for years, setting up outdoor covid stations across the nation, and as of last month we now offer antibody testing, outside of all of the other services we provide.

For a better understanding of One Medical, please check out our Instagram (https://www.instagram.com/onemedical), reach out to our Recruiting team (https://www.linkedin.com/in/sbunker) or me.

nod.ai - https://nod.ai - Palo Alto CA - Full Time Remote

Looking for candidates with solid CS fundamentals to join our team. You will need to be very proficient with C++ and be willing to work on AI Framework Internals (PyTorch, Tensorflow), A.I Compilers (LLVM/MLIR) and/or very large scale HPC systems. You need to be able to work remotely indefinitely given the current state of affairs we will not return to the office until everyone feels safe doing so.

You: Self starter and mostly importantly a finisher - pick something up and deliver without supervision. You will be a manager with a team size of one - you. You will need to pick the next problem on the way to achieve our goals and solve it. You will need to hold a lot of complexity in your head and have solid CS fundamentals. For what we do, Google may not have all the answers to your questions, github may not have any such sample code and Stackoverflow may have a vaguely related question with no replies, but you will be responsible for solving the problem. Everyone of us is a hands on engineer so you will thrive doing more of what you love.

Check us out at https://nod.ai and drop us an email at stdin@nod-labs.com

NEC OncoImmunity | Infrastructure Engineer, ML Engineer | Oslo, Norway | ONSITE or Remote (CET +/- 2) | Full-time | EUR 75k-90k | http://www.oncoimmunity.com

We're an Oslo-based machine-learning based company founded in 2014 developing machine learning software to guide vaccine design for empowering personalized cancer immunotherapy, and infectious diseases. We're currently looking to grow our team.

Stack: Python, Django, React, TypeScript, Terraform, Ansible, Tensorflow, scikit-learn, NextFlow

- Infrastructure Engineer (Ansible, Terraform, Linux, Docker, GCP, Python)

- Data Engineer (Workflow engines, Python, Pandas, Numpy, NL, Bioinformatics experience is a plus)

If you’re interested, send us your application: jobs@oncoimmunity.com

Recursion Pharmaceuticals | Salt Lake City, Utah | Onsite, Full-Time | www.recursionpharma.com/careers

We have raised over $200M to apply machine learning to one of the most unique datasets in existence - over 12 billion 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:

* Senior Data Scientist, NGS Assay Development and Bioinformatics (SLC, UT): Strategize in collaboration with biologists and data scientists on the right NGS-based assays to complement Recursion’s multi-petabyte-scale cellular perturbation and imaging platform

* Machine Learning Scientist, Chemistry (Anywhere): Looking for a highly experienced senior/principal-level Machine Learning Scientist who wants a challenging problem, lots of rich data, and knowledge that their breakthroughs will seriously help people. No bio background needed.

* Senior Data Scientist: Come analyze experimental results, develop best-practice analytical methods for a field that has none, and build the computational tooling required to fuel Recursion’s drug-discovery engine.

* Data Scientist, Data Pipeline Engineering (SLC,UT): Work closely with Data Scientists, software and data engineers, and other stakeholders on the biology, chemistry, HTS, and management teams to build the infrastructure and applications needed to decode human biology and reinvent drug discovery.

* Data Scientist, Drug Discovery (SLC,UT): Bring your unique approach and innovative thinking in developing scalable solutions in drug discovery that immediately impact decisions.

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 6 ski resorts. Great competitive pay, health insurance, 401k, relocation assistance, equity, fully-paid gym membership, complementary chef-prepared meals everyday, two one-week paid company closures in addition to flexible, generous vacation, 70ft onsite rock climbing wall, commuter benefits, a top-caliber team, and help make a massively positive human impact. Happy to sponsor/extend visas.

Tech: Data Science: pydata stack (pandas, numpy, scikit-learn, matplotlib, bokeh, tensorflow w/keras, etc), a clu ster of GPUs for all your research ideas Software Engineering: python, clojure[script], javascript, go, react.js, kafka, kubernetes (GKE), GCE, AWS

Our team of 180+ so far: http://www.recursionpharma.com/team