Senior Machine Learning Solutions Architect

🕒 September 4

🇺🇸 United States – Remote

💵 $138k - $200.1k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Architect end-to-end machine learning solutions from data ingestion through production consumption across multiple business use cases • Design and standardize data flows across systems for machine learning, analytics, personalization, and real-time decisioning • Define architectural patterns for feature engineering, model training workflows, experimentation, and model evaluation at scale • Define MLOps patterns for consistent model deployment, monitoring, and lifecycle management • Build reusable capabilities such as feature pipelines, model serving frameworks, and data access patterns • Define how machine learning and analytical outputs are exposed through APIs, batch processes, and real-time services • Partner with data scientists and engineers to remove friction between experimentation and production and drive architectural decisions • Shape the design, delivery, and scaling of machine learning and advanced analytics across the organization

🎯 Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a closely related quantitative field • 8+ years of experience in data, platform, or software engineering roles with exposure to machine learning or advanced analytics • Experience designing and delivering production-grade machine learning or advanced analytics solutions • Strong background in data architecture and data movement across distributed systems • Deep understanding of machine learning workflows, including feature engineering, model training, experimentation, evaluation, and production deployment • Experience with modern data and machine learning platforms such as AWS, Snowflake, Databricks, or similar • Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT • Reliable high-speed internet with a wired connection and a suitable home workspace for remote work • Preferred: experience with personalization, marketing activation, customer-level decisioning, MLOps, real-time or event-driven data, productionizing models, analytics and business workflows • Relevant certifications such as AWS Certified Solutions Architect, AWS Machine Learning Specialty, Snowflake SnowPro Advanced Data Engineer or Data Scientist, Databricks Machine Learning Professional, or Google Professional Machine Learning Engineer are a plus

🏖️ Benefits

• Medical, dental, vision and life insurance • 401(k) plan with company matching contributions up to 6% • Financial advisory services • Potential company discretionary retirement contribution • Broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment with option to wear jeans • Paid time off program • Ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Paid parental leave • Paid short- and long-term disability • Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) • Flexible work environment • Other necessary computer equipment provided for remote and hybrid positions