About Prove
The identity verification platform you can trust
Key Highlights
- Headquartered in NoMad, New York, NY
- Over 1,000 global enterprise customers and 500 financial institutions
- $252.1 million raised in funding
- Named to Deloitteβs Technology Fast 500 list multiple times
Prove is a leading identity verification platform headquartered in NoMad, New York, specializing in phone-centric tokenization and passive cryptographic solutions. Trusted by over 1,000 global enterprises and 500 financial institutions, Prove has raised $252.1 million in funding and has been recogni...
π Benefits
Prove offers a comprehensive benefits package including stock options, a 401k match, generous vacation time, parental leave, health benefits, and a we...
π Culture
Prove fosters a culture focused on speed and security in identity verification, enabling businesses to enhance customer trust in online transactions. ...
Machine Learning Engineer β’ Senior
Prove β’ United States - Remote
Skills & Technologies
Overview
Prove is seeking a Senior Machine Learning Engineer to bridge data science and software engineering. You'll collaborate with data scientists to deploy machine learning models and enhance digital identity solutions. This role requires expertise in Python, TensorFlow, and AWS.
Job Description
Who you are
You have 5+ years of experience in machine learning and software engineering, with a strong background in deploying models into production environments. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust machine learning solutions that drive business impact. You understand the importance of data quality and have experience working with large datasets, ensuring that models are trained effectively and efficiently. Collaboration is key for you β you thrive in team settings and enjoy partnering with data scientists to translate complex algorithms into scalable applications. You are comfortable with cloud platforms, particularly AWS, and have experience utilizing their services for machine learning workflows. You are data-driven and have a solid understanding of SQL for data manipulation and analysis. You are curious and eager to learn, always looking for ways to improve processes and outcomes.
Desirable
Experience with MLOps practices and tools is a plus, as is familiarity with additional programming languages such as R or Java. Knowledge of data visualization tools can enhance your contributions to the team.
What you'll do
In this role, you will take on the responsibility of deploying machine learning models from prototypes to production, ensuring they are scalable and maintainable. You will work closely with data scientists to understand their models and provide feedback on their implementation. Your role will involve designing and implementing data pipelines that facilitate the flow of data into machine learning systems. You will also monitor model performance and make necessary adjustments to improve accuracy and efficiency. Collaboration with cross-functional teams will be essential as you communicate technical concepts to non-technical stakeholders. You will contribute to the development of best practices for machine learning deployment and advocate for the use of cutting-edge technologies within the team. Your work will directly impact Prove's mission to enhance digital identity solutions and improve user experiences across various industries.
What we offer
Prove offers a dynamic work environment where innovation is encouraged. You will have the opportunity to work on impactful projects that shape the future of digital identity. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Our culture emphasizes teamwork and collaboration, and we believe in supporting our employees' career aspirations. Join us in driving the future of digital identity and making a difference in the mobile-first economy.
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