<div><h1></h1> <h1>About Prove </h1> <div> As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, <a href="https://www.linkedin.com/company/proveidentity/">follow us on LinkedIn.</a> Prove is driving the future of digital identity. We are looking for Provers 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 smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.    Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team!  </div></div>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 our 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 the 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. We embrace our startup roots and are willing to wear whatever hat is necessary to make our team and products successful.   Key Responsibilities: <ul> <li>Design, build, and deploy end-to-end machine learning systems and data pipelines in a production environment.</li> <li>Lead the research and development of new models and algorithms that drive the core intelligence of Proves products.</li> <li>Collaborate across teams (product, cloud backend, platform, data engineering) to define requirements and deliver solutions that improve system performance and efficiency.</li> <li>Serve as a technical leader, providing guidance on architectural design, best practices, and code quality across the team.</li> <li>Drive continuous improvement by owning the full lifecycle of models, from data ingestion and training to monitoring and maintenance.</li> <li>Exercise creative thinking and imagination to find solutions to hard problems</li> <li>Mentor other engineers and data scientists, fostering a culture of technical excellence and innovation.</li> <li>Strong passion for learning about our products and markets through in-house and external training.</li> </ul> <h3>Qualifications and Experience:</h3> Required <ul> <li>5+ years of professional experience as a Machine Learning Engineer or in a similar role.</li> <li>Bachelor’s degree in Computer Science, or a related field.</li> <li>Experience with public cloud infrastructure (AWS, GCP, Azure).</li> <li>Demonstrated experience with MLOps, including CI/CD pipelines, model versioning, and monitoring in a production environment.</li> <li>Strong software development principles and a track record of building scalable, reliable systems.</li> <li>Expert proficiency in Python and experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).</li> <li>Proficient in machine learning and/or signal processing techniques</li> <li>Promote, maintain and enhance our cultural values of humility, passion, inclusion, and leadership.</li> <li>Strong passion for learning about our products and markets through in-house and external training.</li> <li>Experience in high-growth /pre-IPO Technology companies</li> </ul>   Preferred <ul> <li>Experience in high growth /pre-IPO Technology companies</li> <li>Experience with model risk management</li> </ul>   This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. The anticipated salary range for this role is $180,000-$190,000 plus variable commission / company bonus. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data.<div><div> Benefits &amp; Perks for FTE Provers: <ul> <li>Competitive salaries &amp; Bonus Plan (for eligible roles) and Equity Plan</li> <li>Modern Health for financial, mental, and physical wellness</li> <li>401(k) Retirement Plan &amp; Match (US Offices) and Local Country Pension (International Offices)</li> <li>Unlimited Vacation and Flexible hours</li> <li>Comprehensive medical benefits for you and your family ❤️</li> <li>Emotional &amp; Physical Wellness – Access to wellness services (EAP &amp; Prove Well-Being Reimbursement)</li> <li>Bottomless snacks &amp; beverages for certain office locations</li> <li>Daily GrubHub stipend for lunch if coming into the office (US Offices)</li> <li>A great place to work and connect with other talented Provers like yourself!</li> </ul> </div> <div> Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. 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 &amp; 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 <a href="https://www.prove.com/legal/overview#Recruitment-Privacy-Policy">Recruitment Privacy Policy</a> on our website. </div></div>

Prove (formerly Payfone)

Senior Machine Learning Engineer

Prove (formerly Payfone)

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