Intellimize | Several eng roles | REMOTE (US or Canada only) or ONSITE San Mateo, CA | FULL-TIME | https://www.intellimize.com/careers/
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
Open roles I'm hiring for:
* Back end / ML engineer, all levels (https://www.intellimize.com/careers/jobs/?gh_jid=4033757004 and https://www.intellimize.com/careers/jobs/?gh_jid=4002964004)
* Site reliability engineer (https://www.intellimize.com/careers/jobs/?gh_jid=4088778004)
* Tech lead manager (https://www.intellimize.com/careers/jobs/?gh_jid=4092581004)
For the back end role, the exact ML / non-ML blend is flexible, and we'd be happy to have a great back-end engineer join us without any ML background. The SRE role is our first SRE (and we're hiring more than one); it's a great opportunity to help shape how we think about SREing.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office soon, and the company will continue to embrace remote work (it's going great for us!). Our engineering team is is remote-first.
Please apply using one of the links above and mention this post. (If you're not sure which is right right fit for you, just apply to one; I review all applications, and we can discuss which is the best fit for you.) You can reach me directly at alex@ if you have any questions. I'm the hiring manager for these positions.
PS We recently raised a $30M Series B: https://venturebeat.com/2021/07/08/intellimize-raises-30m-to...
Cornerstone On Demand | Senior Backend Engineer - Python| France Remote | Full-time
We are looking for a new backend engineer to join our Paris-based Machine Learning team. We build data products for 75 million users on Enterprise HR use cases (Job matching, Learning recommendation, Career path exploration, Skills detection, Company-wide skills visualization, etc.). The team consists of 9 people with a strong level of seniority (around 10 years in average) both in backend and data science. All model trainings are reproducible with versioned code and the data scientists develop and deploy themselves their models in production. The backend can then focus on the interesting parts: scalability, performance, developer efficiency...
Our stack: Python 3 with mypy, AWS, Docker, TensorFlow Serving, Kinesis, Spark, FastAPI, SQL/NoSQL datastores, etc. Buzzwords: DevOps, infrastructure as code, microservices, code reviews, 90% test coverage, automated deployments in 23 AWS regions. We offer: 60,000-70,000 EUR + annual bonus of up to 10% Job Description: https://cornerstone.csod.com/ux/ats/careersite/2/home/requis...
ML6 | Machine Learning Engineer, Data Engineer | Python, TensorFlow, Google Cloud Platform | Full-time | Amsterdam, Berlin, Ghent (EU)
We are a Machine Learning consulting company that builds end-to-end Machine Learning solutions. By applying the latest AI research, we keep our clients at the forefront of innovation.
If you are interested check out: https://ml6.eu/resource/
You will mostly work with TensorFlow and Python to solve hard Machine Learning tasks and help to put these into production. As a Premier Google Cloud Service Partner, ML6 has a very strong relationship with Google, providing you options to collaborate and alpha test a lot of their latest ML tools.
We are looking for:
• Machine Learning Engineer
• Data Engineer
• Full Stack Engineer
• Software Engineer
• Customer Engineer
• Project Manager
• Sales Consultant
• HR Officer
Apply at: https://ml6.eu/join-us
Epistemic AI | Multiple Roles (see inside) | Remote (Worldwide) | Full-Time | https://www.epistemic.ai
We are building the next generation of tools to accelerate biomedical research using AI and NLP.
Our team consists of scientists and engineers who are dedicated to enabling advances in biomedical research and practice.
Our partners include some of the greatest biomedical institutions in the world, and our scientific advisory board includes pioneers and leaders of the field.
We are looking to hire senior or lead level:
* front-end engineers
* full-stack engineers
* devops engineers
We are searching for demonstrably tenacious, resilient individuals who are relentless in their pursuit of a solution and who thrive when challenged. You, like us, have the desire and drive to build something incredible from the ground up. You, like us, are competitive yet collaborative and strive for excellence in your work. You have passion and compassion, with empathy and deep respect for customers and colleagues. If this sounds like you, we would love to hear from you.
Our team is fully remote, with team members in North America, Europe, and APAC. We hire in all time zones. The compensation we are offering is generous for a company of our size, including competitive cash and equity compensation, 401K matching, excellent health insurance (no monthly payments). We also subsidize equipment, education, and home office furniture. Our technology stack is based on AWS (Cloud), Python 3, Tensorflow, Pytorch (NLP, ML, Deep Learning), Graph databases, Typescript and React (Frontend). We have a CI/CD pipeline and a continuous release process (CircleCI, Github). We train ML and NLP models on clusters of GPUs on Amazon and on Google Cloud TPUs.
If you're intrigued and want to come help accelerate biomedical research please drop us a line at jobs@epistemic.ai
Topaz Labs - https://www.topazlabs.com | Dallas, TX | Full Time | Onsite
We build software that uses machine learning to improve image quality for photographers and videographers. Hundreds of thousands of paid customers use our products, from amateur photographers to major movie studios.
We are the first company to use machine learning to improve image and video quality. Our revenue has doubled every year since incorporating ML into our product.
We have been profitable since day one…all without raising any venture capital. That is right…we are a 100% self-funded company!
Culture: Love over efficiency, Impact over activity, Truth over comfort
Hiring for various positions: https://topazlabs.com/careers/
Lead Software Engineer, Product Software Engineer, Deep Learning Researcher, DevOps Engineer (our 1st DevOps hire!), Product Design Lead
Tech stack: C++, JavaScript, Vue.js, Python, Tensorflow II, AWS, Docker*
Striveworks | ONSITE | Senior Software Engineer @ AI/MLOps Company | Austin or D.C.
Sr Software Engineer, Austin - https://l.linklyhq.com/l/ZvwY Sr Software Engineer, Washington D.C. - https://l.linklyhq.com/l/ZvwZ
Haven't heard of Striveworks? There's a reason for that... we're Austin's best kept tech secret. Our people and products shape solutions that directly affect the geopolitical landscape. We are cross-functional talent working together on the cutting edge to provide mission critical solutions. Keep reading to learn the perks of joining a well-funded MLOps startup with major contracts in highly regulated spaces.
##The Right Fit##
* 4+ years relevant experience * Excellence in Python or GoLang * Applicants welcome with excellence in another major language, particularly Java, C/C++ * Knowledge of DevOps tooling: CI/CD tools, Git, Docker, Kubernetes * Familiarity with database design and architecture: relational and non-relational * Comfort with cloud architecture: commercial cloud, OpenStack * Comfort with deep learning library (Tensorflow, Pytorch) implementation and integration * Excellent project planning and communication skills. * Driven, self-directed personality * Strong sense of mission and commitment to making a difference * _U.S. citizenship_ Also feel free to reach out to me directly via email: t.shank [at] striveworks.usShopify | Remote | Search, Discovery, Recommendations | Full-Time
Shopify’s search and discovery team is hiring search relevance engineers (hybrid data+eng role, like ML engineering).
WHY: Shopify wants to make commerce better for everyone. How do you do that? Our team at Shopify wants to help independent merchants form deeper relationships with their customers through smarter search and recommendations. We want to give the independent merchants the tools to build complex experiences only accessible to larger, powerful e-commerce companies.
WHAT: We want thoughtful engineers with data skills or vice versa. Naturally, experience in Python, Python’s data science ecosystem (scikit learn, tensorflow, numpy, pandas, etc), and search engines like Solr, Elasticsearch, Lucene etc help. Excitement about the field of search relevance, information retrieval, or recommender systems.
Don’t hold yourself back if you’re passionate about this domain, we want to hear from you: Join us and help us democratize amazing e-commerce product discovery!
LINK: https://jobs.smartrecruiters.com/ni/Shopify/bedf9119-9a23-4f...
Or DM me over LinkedIn: https://www.linkedin.com/in/softwaredoug
Recursion Pharmaceuticals | Salt Lake City, Utah | Onsite, Full-Time | www.recursionpharma.com/careers
We have raised over $400M 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.
* Engineering Managers: You'll lead one of our 4 new teams and build a positive team environment for our best in class engineers.
* Senior Full Stack Software Engineer: You'll work with biologists to create experiment design tools ensuring experiments are generating high quality data.
* Senior Software Engineer, Data Platform: You'll work with Biologists, Automation Scientists, and Data Scientists to create a platform that allows them to generate and access petabytes of data and deploy new deep learning models into the production data pipeline.
* Senior Software Engineer, Analysis Platform: You'll work with Data Scientists to create a platform that allows them to quickly iterate on novel analyses and research leveraging petabytes of data.
Logistics: Salt Lake City, Utah and 2 new offices opening in Canada. 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, monthly fitness/wellness stipend, 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 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 300+ so far: http://www.recursionpharma.com/team
Outbrain | Israel, Half-Remote | Full-Time | Experienced Algorithm/ML Engineer | https://outbrain.com
Our team is developing machine learning algorithmic solutions that improve outcomes for our advertisers. It is part of Outbrain’s Recommendations Group - about 40 machine learners, data scientists and machine-learning engineers who are responsible for everything that Outbrain recommends in its feeds and widgets. The team uses an interplay of Python, Java and Rust, in addition to Spark, Bigquery, and Tensorflow to form our ML and AutoML pipelines.
Team’s responsibilities are:
- Leverage Outbrain's rich data sources, large-scale computing resources, and proprietary algorithms to build a state of the art models to improve outcomes for our publishers and users
- Implementation and integration of algorithmic feature to the high scale production system
- A/B testing and monitoring of new features
- Data analysis over huge datasets to validate the various hypothesis
- Collaborate with the operations team to further improve our tooling and results