Prove Identity, Inc.
Senior Machine Learning Engineer
Prove Identity, Inc., Denver, Colorado, United States, 80285
Overview
Prove is seeking a Senior Machine Learning Engineer to join the Data Science team. You will work with product, cloud backend, engineering, and customer-facing teams to define effective solutions, propose and implement models and algorithms, and build systems that keep the intelligence behind Prove’s products operating efficiently and effectively. This is a hands-on role with a high degree of influence within a fast-paced startup environment. Job Details
Title:
Senior Machine Learning Engineer Department:
EPD - Engineering and Data Reports To:
Senior Manager, Data Science FLSA Status:
Exempt Location:
US Remote Key Responsibilities
Design, build, and deploy end-to-end machine learning systems and data pipelines in a production environment. Lead research and development of new models and algorithms that drive core product intelligence. Collaborate with product, cloud backend, platform, and data engineering teams 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. Own the full lifecycle of models, from data ingestion and training to monitoring and maintenance, driving continuous improvement. Apply creative thinking to solve hard problems. Mentor other engineers and data scientists, fostering technical excellence and innovation. Maintain a strong focus on learning about products and markets through internal and external training. Qualifications and Experience
Required 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 production. Strong software development principles and a track record of building scalable, reliable systems. Expert proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Proficiency in machine learning and/or signal processing techniques. Willingness to promote and uphold Prove’s cultural values of humility, passion, inclusion, and leadership. Experience in high-growth / pre-IPO technology companies (preferred). Preferred Experience in high-growth / pre-IPO technology companies. Experience with model risk management. Salary and Benefits
The anticipated salary range for this role is $180,000-$190,000 plus variable commission / company bonus. Salary is determined by education, experience, knowledge, skills, geo-location and internal equity. Competitive salaries and bonus plan and equity Modern health benefits for physical and mental wellness 401(k) retirement plan with match (US) and local pension where applicable Unlimited vacation and flexible hours Comprehensive medical benefits for you and your family Wellness programs and support services Snacks and beverages at certain office locations Daily GrubHub lunch stipend when working from the office (US) Equal Opportunity and Privacy
Prove is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. Privacy: When applying for a job, we collect and use your personal information in the job application process. See our Recruitment Privacy Policy on our website for details. Apply
Interested in joining Prove? Apply to be considered for this role.
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Prove is seeking a Senior Machine Learning Engineer to join the Data Science team. You will work with product, cloud backend, engineering, and customer-facing teams to define effective solutions, propose and implement models and algorithms, and build systems that keep the intelligence behind Prove’s products operating efficiently and effectively. This is a hands-on role with a high degree of influence within a fast-paced startup environment. Job Details
Title:
Senior Machine Learning Engineer Department:
EPD - Engineering and Data Reports To:
Senior Manager, Data Science FLSA Status:
Exempt Location:
US Remote Key Responsibilities
Design, build, and deploy end-to-end machine learning systems and data pipelines in a production environment. Lead research and development of new models and algorithms that drive core product intelligence. Collaborate with product, cloud backend, platform, and data engineering teams 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. Own the full lifecycle of models, from data ingestion and training to monitoring and maintenance, driving continuous improvement. Apply creative thinking to solve hard problems. Mentor other engineers and data scientists, fostering technical excellence and innovation. Maintain a strong focus on learning about products and markets through internal and external training. Qualifications and Experience
Required 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 production. Strong software development principles and a track record of building scalable, reliable systems. Expert proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Proficiency in machine learning and/or signal processing techniques. Willingness to promote and uphold Prove’s cultural values of humility, passion, inclusion, and leadership. Experience in high-growth / pre-IPO technology companies (preferred). Preferred Experience in high-growth / pre-IPO technology companies. Experience with model risk management. Salary and Benefits
The anticipated salary range for this role is $180,000-$190,000 plus variable commission / company bonus. Salary is determined by education, experience, knowledge, skills, geo-location and internal equity. Competitive salaries and bonus plan and equity Modern health benefits for physical and mental wellness 401(k) retirement plan with match (US) and local pension where applicable Unlimited vacation and flexible hours Comprehensive medical benefits for you and your family Wellness programs and support services Snacks and beverages at certain office locations Daily GrubHub lunch stipend when working from the office (US) Equal Opportunity and Privacy
Prove is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. Privacy: When applying for a job, we collect and use your personal information in the job application process. See our Recruitment Privacy Policy on our website for details. Apply
Interested in joining Prove? Apply to be considered for this role.
#J-18808-Ljbffr