UnifyID

Machine Learning Engineer

Reposted 19 Days Ago

Redwood City, CA

In-Office

Senior level

Information Technology • Security

The Role

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.

Summary Generated by Built In

About Prove (acquired UnifyID)

Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions, including 9 of the top 10 U.S. banks. Prove’s cloud solutions, and mobile intelligence-driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately while mitigating fraud. Prove’s solutions are available in 195 countries.

For the latest updates from Prove, follow us on LinkedIn.

About the role

We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production.

UnifyID is building a platform to solve one the world’s biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what’s possible in production machine learning and on mobile devices. Our data analytics platform can translate mobile sensor data from real-world human activity into a “digital fingerprint” with no conscious action from the user, all in real-time, and in a way that respects user privacy. This is an opportunity to be a part of something truly unique and game-changing.

We are looking for natural-born builders who are comfortable in multiple technical areas, have creative problem-solving skills, a love for coding and technology and a “get stuff done” attitude.

Your day-to-day

Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform
Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems
Interface with our world-class machine learning research team to help turn core research into reality
Wrangle and perform experiments on petabyte-scale data sets
Wear many hats to make things happen in a dynamic startup environment
Bring your own unique expertise to the team and learn from others
Enjoy tight collaboration with your teammates

Ideal candidates will have...

Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care
Many “been there, done that” stories related to shipping and maintaining major software products for customers
Excellent coding skills in an object-oriented language (Go, Python, Rust, Java, C++, Ruby, etc...)
Experience working with high volumes of data, ideally with machine learning playing a critical role
Strong foundational knowledge of mathematics, bonus if related to machine learning or signals processing
A breadth of technical skills and know how to use the right tool for the job
High motivation and ability to learn new technologies and domains
A positive can-do attitude and bring a passion for excellence to the workplace
Excellent collaboration and communication skills
Professional experience with AWS, Kubernetes a bonus
Knowledge of cybersecurity, signals processing, or experience working with time-series data a bonus

Join us!

As we continue to scale our company, we are looking for people who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.

Prove has big plans; we’re excited and optimistic about the future. If this sounds like a career for you – come check us out.

This team is located in the heart of Silicon Valley in downtown Redwood City and has unparalleled access to deep entrepreneurial expertise, high-caliber academic research institutions, and top-tier VC resources.

Finally, it is important that you be authentic and be yourself.

Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics.

Top Skills

AWS

C++

Java

Kubernetes

Python

Ruby

Rust

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The Company

San Francisco, CA

3 Employees

Year Founded: 2015

What We Do

UnifyID is now part of Prove.

The Next Generation Platform for Identity and Authentication.

Hate passwords? So do we. We believe that within five years, passwords will no longer be the predominant method of authentication.

We are UnifyID, a company that is building a revolutionary identity platform based on implicit authentication. Our solution allows people to identify themselves in a unique way that is extremely difficult to forge or crack. Best of all, we are doing it in a way that respects user privacy.

We are developing a revolutionary new technique for authentication that relies on implicit authentication. These are factors that are unique to you but don’t require any user action, such as your location, your habits, and various signals from the devices you carry and the sensors around you. We use proprietary machine learning algorithms to discover what makes you unique and calculate a confidence level of how likely it is you based on these signals.

Latest Announcements
- SXSW Security & Privacy Winner (#1 in 50 finalists, 400 applicants): https://www.sxsw.com/news/2017/2017-sxsw-accelerator-winners-pioneering-solutions-to-tomorrows-problems/
- RSA Innovation Sandbox Unanimous 2017 Winner (#1 in 50): https://www.rsaconference.com/press/73
- TechCrunch Disrupt SF Battlefield Runner-Up (#2 in 1000): https://blog.unify.id/2016/09/19/unifyid-disrupts-disrupt/
- Stanford StartX S15 startup: http://startx.com/companies

For more:
https://unify.id/press.html

We're hiring!
https://unify.id/careers.html