Senior ML Engineer - Product
Description:
• Machine Learning Engineers build products deepening customer relationships.
• Develop and maintain reusable ML pipelines and systems.
• Collaborate closely with cross-functional teams.
• Focus on model monitoring and optimization.
• Set up deployment infrastructure and automated processes.
• Steward good instrumentation and experimental design.
• Build and manage data labeling and ingestion frameworks.
• Understand member needs and financial goals.
• Maintain a high technical bar through mentoring and reviews.
Requirements:
• 5+ years of professional experience working in a data science or machine learning engineering capacity.
• Proficient in SQL, Python and have strong software engineering skills.
• Team player — collaboration and communication are key.
• Enthusiastic with research on cutting-edge ML solutions.
• Care about understanding context and business impact.
• Excellent writing, presentation, and communication skills.
• Adept at proof of concepts and building scalable systems.
• Deep experience in generative AI applications, computer vision, etc.
• Experience in fintech, banking, or finance is a plus.
Benefits:
• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)
Apply Now
Apply Now
• Machine Learning Engineers build products deepening customer relationships.
• Develop and maintain reusable ML pipelines and systems.
• Collaborate closely with cross-functional teams.
• Focus on model monitoring and optimization.
• Set up deployment infrastructure and automated processes.
• Steward good instrumentation and experimental design.
• Build and manage data labeling and ingestion frameworks.
• Understand member needs and financial goals.
• Maintain a high technical bar through mentoring and reviews.
Requirements:
• 5+ years of professional experience working in a data science or machine learning engineering capacity.
• Proficient in SQL, Python and have strong software engineering skills.
• Team player — collaboration and communication are key.
• Enthusiastic with research on cutting-edge ML solutions.
• Care about understanding context and business impact.
• Excellent writing, presentation, and communication skills.
• Adept at proof of concepts and building scalable systems.
• Deep experience in generative AI applications, computer vision, etc.
• Experience in fintech, banking, or finance is a plus.
Benefits:
• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)
Apply Now
Apply Now