Tensorflow Jobs - July 2021

Intellimize | Back-end / Machine Learning Engineer (all levels) | REMOTE (US or Canada only) or ONSITE San Mateo, CA | FULL-TIME | https://www.intellimize.com/careers/mle/

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.

This role: all levels, back-end and ML engineering. 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.

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, this particular team 100% remote.

You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.

PS We just raised a $30M Series B: https://venturebeat.com/2021/07/08/intellimize-raises-30m-to...

justadd.ai | Bremen, Germany | Full-time | https://www.justadd.ai/en/jobs

As an AI Engineer // Data Scientist, the problem can’t be hard enough for you. You’re familiar with the current state of the art in Deep Learning. As part of our AI experts team, you will develop solutions to solve real-world problems while interacting with our customers.

Your Tasks:

- You will develop custom AI solutions from prototypes to integratable software modules

- You use and develop state-of-the-art models to solve real-world problems

- You analyze large data sets and come up with creative solutions

- You develop, implement, test and document competently You are involved in development from conception to deployment

Your Profile:

- You have a master’s degree in computer science or a similar field of study

- You have deep knowledge in at least one of these disciplines: Computer Vision, Natural Language Processing, Robotics or Deep Learning

- You actively pursue the current state-of-the-art in Deep Learning

- You have very good programming skills, live the best practices and have successfully brought software projects into production using Python & Pytorch (or TensorFlow/Keras)

- You have strong mathematical skills, especially in machine learning approaches and statistical methods

- You have a strong sense of responsibility, identify risks early and fix bugs even after delivery

- You think in a solution-oriented way and approach problems in an analytical and structured way

- You enjoy working in a team and can communicate effectively with people from different professions (technical and non-technical)

- Thanks to your motivation and self-discipline, you achieve high productivity, deliver good quality results in time and motivate other team members

- Through continuous self-criticism, you iteratively improve your own quality standards, which can be seen in your grades

Topaz Labs - https://www.topazlabs.com | Dallas, TX | Full Time | Onsite

Hi - we're Topaz Labs! 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!

Our story so far:

-In 2018 we were the first to use machine learning to improve image quality (covered by Fast Company, The Verge, Engadget, Mashable, and more).

-We have extreme growth and opportunity for impact: $3M in 2018 to $16M in 2020 (+150% YoY) with no end in sight!

-We have a huge total addressable market. Real-life version of CSI's "Enhance"? That's what we're building, and we're better than anyone else at it.

Culture: We fanatically embrace ownership and autonomy. We do everything we can to remove unnecessary process, hierarchy, and micro-management.

Hiring for various positions: https://topazlabs.com/careers/

*Product Software Engineer (80% lead engineer / 20% product manager)

*Deep Learning Researcher

*DevOps Engineer

*Product Design Lead

*Software Engineer (web)

Tech stack: C++, JavaScript, Vue.js, Python, Tensorflow II, AWS, Docker

Certilytics | Hiring Data Scientists and Data Engineers | Remote: US Only | Full-time

Certilytics provides sophisticated predictive analytics solutions to major healthcare organizations by integrating financial, clinical, and behavioral insights. Our team represents a dynamic infusion of multidiscipline, which includes actuarial, data, and behavioral scientists, IT engineers, software developers, nurse clinicians, and experts in public health and the health insurance industry. Certilytics has extensive experience working with a diverse set of customers, including large self-insured employers, health plans, pharmacy benefit managers, government programs, care management companies, and health systems. These relationships with various data providers and customers allow for rapid data ingestion, validation, and enrichment, as well as streamlined delivery of analytic dashboards, outputs, and visualizations to our customers. Our unique approach allows for developing the most accurate financial, clinical and behavioral models in the industry.

Why Certilytics!

Access to one of the most extensive clinical datasets in the industry that includes medical claims, pharmacy claims, and laboratory data.

Impactful work. We're big enough to have the freedom to take on interesting projects but small enough that your work is always important and highly visible within the organization.

Remote friendly. The Certilytics data science team is distributed throughout the US and has regular in-person working sessions for all of those little things that are hard to accomplish over Teams.

Tech Stack: Python, TensorFlow, Kubernetes, AWS, Spark, Scala

See our open jobs: https://www.certilytics.com/contact-us/#careers

Tapad | Full-Time | NYC & Oslo, Norway | Open Compensation

Tapad is known for inventing and introducing the Tapad Graph™ to the industry. At the heart of it, we’re a big data company.

Tapad's Open Source tech stack (below) handle:

- Google Cloud Platform (GCP), Google Dataflow/Beam, SQL, BigQuery - Scala, sbt, cats, http4s, fs2 - Spark ML, TensorFlow, Kubeflow, Python, PyTorch - Airflow, Looker, Kubernetes

- - - - - - - - - - - - - - - - -

Here are our open roles in Engineering:

Senior Engineering Manager (Oslo): https://grnh.se/a550ca191us Software Engineer (NYC & Oslo): https://grnh.se/5fb37cb01us Senior Software Engineer(NYC& Oslo): https://grnh.se/9eb277671us Senior Machine Learning Engineer (NYC & Oslo): https://grnh.se/76d759651us

- - - - - - - - - - - - - - - - - More About Tapad: We use Scala, in combination with large-scale data processing and open-source technologies, to build our device graph. Across our engineering teams, we also use Scala, GCP, Spark, Kubernetes, Python, TypeScript, Angular, and anything else that helps us get the job done. We're open-minded about new technologies, we're passionate about what we do, and we make time for everyone to learn and grow as the industry changes. Engineers at Tapad are approachable and ambitious people who think outside the box and solve big problems collaboratively. Are you up for the challenge?