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...
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.
We’re looking for: * 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 Machine Learning Scientist, Computer Vision (Anywhere) : You'll design state-of-the-art neural networks and train them on our massive in-house biological image datasets * Data Science Manager (Multiple positions; SLC,UT): Mentor, grow and provide technical leadership to a team of data scientists who are developing systems, processes and methods that are essential to Recursion’s data generation platform. * Data Scientist - Human Statistical Genetics (SLC, UT or Toronto): Communicate data and scientific results while pairing your knowledge of statistical genetics to create analyses and visualization tools steering internal research direction. * Data Scientist - (2 positions, Proteomics and Assay Development; SLC, UT): Guide our Molecular-Omics Assay Dev team in the search for answers to specific, challenging questions about individual research programs, and large, relatable, info-rich datasets to help us map and decode biology. .* Principal or Senior Full Stack Software Engineer (Utah, Toronto, and Milpitas): You'll work with biologists to create experiment design tools ensuring experiments are generating high quality data. .* Software Engineering Manager (SLC, UT or Toronto): Multiple roles available.You’ll lead teams and support performance, scalability, and system architecture. * Applications Integration Engineer: Integrate multiple application systems to further drug discovery while supporting scientists and being a data steward. * Senior Scientist, Computational Oncology: Lead multiple projects developing to bring new therapeutics to patients while developing new analytics and workflows at an accelerated pace.
http://www.recursionpharma.com/careers for more details and to apply. 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
Utilant | Cloud Ops Engineer | REMOTE (Anywhere in the U.S.) | Full Time https://www.losscontrol360.com/careers-who-we-are/
Utilant helps property inspectors collect the right data so that insurance companies can accurately underwrite risks and make recommendations that reduce losses and save lives. Our fully remote Data and Analytics team is looking to hire a Cloud Operations Engineer.
As our Cloud Operations Engineer, you'll lead major architectural decisions for our cloud-native Data and Analytics unit. Our team already has dozens of containerized, GPU-driven, deep learning models deployed to production with infrastructure as code. With your help, we can better scale these services, further automate our deployment pipelines, and maximize the impact of our cutting-edge machine learning solutions.
TECH STACK: Python3 (with PyTorch, Tensorflow, spaCy, sklearn, & FastAPI), GitHub (with CI through GitHub Actions), Linux & Windows, Docker, deployment to AWS and Azure using Terraform.
Utilant is based in beautiful Buffalo, NY, but our Data and Analytics team is fully remote, and open to hiring anyone authorized to work in the U.S. without visa sponsorship.
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
FAIRTIQ | REMOTE & flexible in European time zone | 80-100% | Portugal, UK, Switzerland
FAIRTIQ (https://fairtiq.com/en/) is the leading software solution that disrupts public transport ticketing. We use innovative algorithms to detect user journeys using data collected by mobile sensors. Since the founding in 2016, our innovative, simple solution has been recognized internationally. Thanks to our strategic partnerships, we already cover the entire public transportation system in Switzerland – while also growing internationally, i.e. in Germany, Austria and other regions.
Tech stack: * Architecture principles: Microservices, Continuous Delivery, Domain Driven Design, MVVM, Hexagonal architecture, Zero downtime * Programming languages we use: iOS - Swift, Android - Kotlin/Java, Backend development - Java/Kotlin, Backend scripts/prototypes - Python * Data stores: MongoDB, Redis * API / Messaging: Rest / JSON, RabbitMQ * Machine Learning: scikit-learn, Tensorflow
FAIRTIQ consists of currently 100 employees and growing. We are looking for: - Software and research engineers - iOS mobile engineers & Android mobile engineers https://fairtiq.applytojob.com/apply/nImbf0S537/IOS-Mobile-C... - Squad lead positions for iOS or Android mobile engineers https://fairtiq.applytojob.com/apply/rzeag5VhJq/Lead-Mobile-... - You will be working with highly talented colleagues and are offered a flexible & remote work style
Apply on our careers page: https://fairtiq.com/en/careers
Please only apply if you have a valid work visa for the advertised countries on the careers page.
Medsensio | Machine Learning Engineer, | Full Time - REMOTE(EEA) | https://medsens.io
At Medsensio we are addressing the issues of cardiorespiratory diseases and chronic care management by using the opportunities within digital care by means of AI and healthcare technology.
To achieve this we're working closely with clinical, R&D and industry partners, potential customers, and other stakeholders in Norway and internationally. This includes initiatives and projects supported by national and European R&D and innovation support authorities.
You will part of Medsensio’s machine learning efforts. This involves improving and developing existing algorithms. You will get access to clinical data from patients with both chronic lung diseases and COVID-19.https://medsensio0.talentlyft.com/jobs/machine-learning-engi...
Our stack is: Python/tensorflow for ML, DVC, CML for MLOps. AWS lambda function for deployment of ML models. Terraform, kubernetes, docker and Go for the deployment and backend.