Prove
About Prove
Prove is a mobile‑first digital identity company that tokenizes phone numbers and passes passive cryptographic authentication to reduce friction, enhance security and privacy across all digital channels. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across banking, lending, healthcare, gaming, crypto, e‑commerce, marketplaces and payments. Title
Senior Machine Learning Engineer Department
EPD – Engineering and Data Reports To
Senior Manager, Data Science FLSA Status
Exempt Location
US Remote Job Summary
As a member of the Data Science team, you will work closely with product, cloud backend, engineering and customer‑facing teams to define what it means to have an effective solution, propose and implement models and algorithms for that solution, and build systems that automatically ensure the intelligence behind our products is operating as efficiently and effectively as possible. You will be responsible for understanding how the whole system works and helping to drive improvements. This is a critical hands‑on role with a high degree of influence. Key Responsibilities
Design, build, and deploy end‑to‑end machine learning systems and data pipelines in a production environment. Lead the research and development of new models and algorithms that drive the core intelligence of Prove’s products. Collaborate across teams (product, cloud backend, platform, data engineering) to define requirements and deliver solutions that improve system performance and efficiency. Serve as a technical leader, providing guidance on architectural design, best practices and code quality across the team. Drive continuous improvement by owning the full lifecycle of models, from data ingestion and training to monitoring and maintenance. Exercise creative thinking and imagination to find solutions to hard problems. Mentor other engineers and data scientists, fostering a culture of technical excellence and innovation. Strong passion for learning about our products and markets through in‑house and external training. Qualifications and Experience
5+ years of professional experience as a Machine Learning Engineer or in a similar role. Bachelor’s degree in Computer Science or a related field. Experience with public cloud infrastructure (AWS, GCP, Azure). Demonstrated experience with MLOps, including CI/CD pipelines, model versioning and monitoring in a production environment. Strong software development principles and a track record of building scalable, reliable systems. Expert proficiency in Python and experience with machine learning frameworks (PyTorch, TensorFlow, Scikit‑learn). Proficient in machine learning and/or signal processing techniques. Promote, maintain and enhance our cultural values of humility, passion, inclusion, and leadership. Strong passion for learning about our products and markets through in‑house and external training. Experience in high‑growth/pre‑IPO technology companies. Preferred
Experience in high growth/pre‑IPO technology companies. Experience with model risk management. Benefits & Perks For FTE Provers
Competitive salaries & bonus plan (for eligible roles) and equity plan. Modern Health for financial, mental and physical wellness. 401(k) retirement plan & match (US offices) and local country pension (international offices). Unlimited vacation and flexible hours. Comprehensive medical benefits for you and your family. Emotional & physical wellness – access to wellness services (EAP & Prove Well‑Being reimbursement). Bottomless snacks & beverages for certain office locations. Daily GrubHub stipend for lunch if coming into the office (US offices). A great place to work and connect with other talented Provers like yourself! Equal Opportunity Employment
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. Privacy & Data Protection
When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.
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Prove is a mobile‑first digital identity company that tokenizes phone numbers and passes passive cryptographic authentication to reduce friction, enhance security and privacy across all digital channels. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across banking, lending, healthcare, gaming, crypto, e‑commerce, marketplaces and payments. Title
Senior Machine Learning Engineer Department
EPD – Engineering and Data Reports To
Senior Manager, Data Science FLSA Status
Exempt Location
US Remote Job Summary
As a member of the Data Science team, you will work closely with product, cloud backend, engineering and customer‑facing teams to define what it means to have an effective solution, propose and implement models and algorithms for that solution, and build systems that automatically ensure the intelligence behind our products is operating as efficiently and effectively as possible. You will be responsible for understanding how the whole system works and helping to drive improvements. This is a critical hands‑on role with a high degree of influence. Key Responsibilities
Design, build, and deploy end‑to‑end machine learning systems and data pipelines in a production environment. Lead the research and development of new models and algorithms that drive the core intelligence of Prove’s products. Collaborate across teams (product, cloud backend, platform, data engineering) to define requirements and deliver solutions that improve system performance and efficiency. Serve as a technical leader, providing guidance on architectural design, best practices and code quality across the team. Drive continuous improvement by owning the full lifecycle of models, from data ingestion and training to monitoring and maintenance. Exercise creative thinking and imagination to find solutions to hard problems. Mentor other engineers and data scientists, fostering a culture of technical excellence and innovation. Strong passion for learning about our products and markets through in‑house and external training. Qualifications and Experience
5+ years of professional experience as a Machine Learning Engineer or in a similar role. Bachelor’s degree in Computer Science or a related field. Experience with public cloud infrastructure (AWS, GCP, Azure). Demonstrated experience with MLOps, including CI/CD pipelines, model versioning and monitoring in a production environment. Strong software development principles and a track record of building scalable, reliable systems. Expert proficiency in Python and experience with machine learning frameworks (PyTorch, TensorFlow, Scikit‑learn). Proficient in machine learning and/or signal processing techniques. Promote, maintain and enhance our cultural values of humility, passion, inclusion, and leadership. Strong passion for learning about our products and markets through in‑house and external training. Experience in high‑growth/pre‑IPO technology companies. Preferred
Experience in high growth/pre‑IPO technology companies. Experience with model risk management. Benefits & Perks For FTE Provers
Competitive salaries & bonus plan (for eligible roles) and equity plan. Modern Health for financial, mental and physical wellness. 401(k) retirement plan & match (US offices) and local country pension (international offices). Unlimited vacation and flexible hours. Comprehensive medical benefits for you and your family. Emotional & physical wellness – access to wellness services (EAP & Prove Well‑Being reimbursement). Bottomless snacks & beverages for certain office locations. Daily GrubHub stipend for lunch if coming into the office (US offices). A great place to work and connect with other talented Provers like yourself! Equal Opportunity Employment
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. Privacy & Data Protection
When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.
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