Talent.com
Machine Learning Engineer
Machine Learning EngineerUnifyID (acquired by Prove) • Redwood City, CA, US
Machine Learning Engineer

Machine Learning Engineer

UnifyID (acquired by Prove) • Redwood City, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

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.

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

    [job_alerts.create_a_job]

    Machine Learning Engineer • Redwood City, CA, US

    [internal_linking.similar_jobs]
    Machine Learning Engineer (L2)

    Machine Learning Engineer (L2)

    Cognitiv • San Mateo, CA, US
    [job_card.full_time]
    Are you ready to revolutionize the advertising industry?.At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advert...[show_more]
    [last_updated.last_updated_30] • [promoted]
    ML Engineer

    ML Engineer

    Phizenix • Menlo Park, CA, US
    [job_card.full_time] +1
    Client Opportunity | Through Phizenix.Phizenix, a certified minority and women-led recruiting firm, is hiring on behalf of an innovative generative AI startup that's developing diffusion-based ...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer - Credit

    Machine Learning Engineer - Credit

    Plaid • San Francisco, CA, US
    [job_card.full_time]
    We believe that the way people interact with their finances will drastically improve in the next few years.We’re dedicated to empowering this transformation by building the tools and experien...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Research Scientist

    Machine Learning Research Scientist

    Autoscience • Menlo Park, CA, US
    [job_card.full_time]
    Develop autonomous research systems that ideate, experiment, and publish scientific papers.You'll be working on the first and best AI system to automate scientific discovery in AI research.Desi...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Lead Machine Learning Engineer

    Lead Machine Learning Engineer

    Adobe • San Francisco, CA, US
    [job_card.full_time]
    Changing the world through digital experiences is what Adobe's all about.We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experie...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior Machine Learning Engineer

    Senior Machine Learning Engineer

    Tahoe Therapeutics • South San Francisco, CA, US
    [job_card.full_time]
    Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make i...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer - Product

    Machine Learning Engineer - Product

    Nextdoor • San Francisco, CA, US
    [job_card.full_time]
    Nextdoor (NYSE : NXDR) is the essential neighborhood network.Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoo...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Adidev Technologies Inc • Daly City, CA, US
    [job_card.full_time]
    Role : Machine Learning Engineer.This role is open to US Citizens, Green Card holders, GC-EAD only.Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced mac...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Capital One • San Francisco, California, USA
    [job_card.full_time] +1
    As a Capital One Machine Learning Engineer (MLE) youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed tec...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Poesis • San Francisco, CA, United States
    [job_card.full_time]
    Poesis is the AI-native investment manager pioneering a new foundation model for investing in U.We're building modular AI systems to predict market movements and outperform legacy managers.This is ...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior Machine Learning Engineer - ML Agents and Planning

    Senior Machine Learning Engineer - ML Agents and Planning

    Zoox • Foster City, CA, US
    [job_card.full_time]
    The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and ...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Aquabyte • San Francisco, CA, United States
    [job_card.full_time]
    You’ll be responsible for software and machine learning model development of our on‑camera and cloud software.Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquacult...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer, Training Infrastructure

    Machine Learning Engineer, Training Infrastructure

    IntelliPro Group Inc. • San Francisco, CA, US
    [job_card.full_time]
    Machine Learning Engineer, Training Infrastructure.We are looking for an ML Engineer with 3+ YOE in high-performance computing systems to manage and optimize our computational infrastruct...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Director, Machine Learning

    Director, Machine Learning

    Syntiant • Redwood City, CA, US
    [job_card.full_time]
    AI software and semiconductor solutions space, is looking for an experienced and talented.Machine Learning function in a growing organization. We are seeking a leader that takes a hands-on approach ...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    OSARO • San Francisco, CA, US
    [job_card.full_time]
    We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Alexander Chapman • San Francisco, CA, United States
    [job_card.full_time]
    Get AI-powered advice on this job and more exclusive features.This range is provided by Alexander Chapman.Your actual pay will be based on your skills and experience — talk with your recruiter to l...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Visa • Foster, California, USA
    [job_card.full_time] +1
    With data being the fuel that drives our future - our strategies policies and business successes around data will define our future growth prospects. Unlocking the value available through the innova...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer - Model Evaluations, Public Sector

    Machine Learning Engineer - Model Evaluations, Public Sector

    Scale AI, Inc. • San Francisco, CA, United States
    [job_card.full_time]
    Machine Learning Engineer - Model Evaluations, Public Sector.The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-cri...[show_more]
    [last_updated.last_updated_30] • [promoted]