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 - https://epistemic.notion.site/Front-End-Technical-Lead-151ad...
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 and Rust (Backend), Tensorflow, Pytorch (NLP, ML, Deep Learning), 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
Utilant | Cloud Ops Engineer; Data Scientist | 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 permanently 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, Docker, deployment to AWS and Azure using Terraform.
Utilant is based in beautiful Buffalo, NY, but our Data and Analytics team has been fully remote from the start, and is open to hiring anyone authorized to work in the U.S. without visa sponsorship.
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...
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