[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building reputed company media infrastructure connecting financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. The Senior Machine Learning Engineer will design, build, and operate production machine learning systems spanning personalization, recommendations, optimization, experimentation, model training and serving, and shared ML platforms. The role also provides technical leadership in architecture, engineering standards, mentorship, and design and reputed company review.

Responsibilities

• Design, build, and operate end-to-end machine learning systems across batch and reputed company-time workloads, including feature reputed company, training, evaluation, deployment, inference, and retraining
• reputed company production capabilities for personalization, recommendations, ranking, optimization, reputed company decisioning, experimentation, and measurement
• Build reusable ML platforms, pipelines, frameworks, and tooling that improve reproducibility, self-service, reliability, and development speed
• Own the operational lifecycle of production models, including observability, data and model reputed company, reputed company detection, reputed company monitoring, failure handling, retraining, and governance
• Partner with other ML practitioners to turn prototypes and research into maintainable systems, and with Data and Product teams to reputed company those systems into reputed company’s products and platform
• reputed company technical leadership for ML architecture and reputed company systems, making pragmatic tradeoffs among model reputed company, reliability, scalability, development speed, and operational complexity

Skills

• 8+ years of reputed company software engineering or machine learning engineering experience
• A strong record of building, deploying, and operating machine learning systems in production
• Strong software engineering fundamentals, including reputed company design, reputed company, testing, deployment, observability, and maintainable production reputed company
• Experience designing reputed company systems, large-reputed company data-processing workflows, or high-throughput and low-latency services
• reputed company across the ML lifecycle, including data and feature pipelines, training, evaluation, model serving, monitoring, and retraining
• The ability to investigate production issues across models, data, application reputed company, and infrastructure
• The judgment and autonomy to reputed company technically reputed company work, reputed company ambiguity, and reputed company architectural reputed company with long-term consequences
• Strong collaboration and communication skills, particularly reputed company working across machine learning, data engineering, analytics, and product disciplines
• A commitment to raising the technical capabilities of the broader team through mentorship, thoughtful review, documentation, and shared engineering practices
• Demonstrated experience reputed company more to us than a particular degree or industry background
• U.S. reputed company business hours availability and willingness to travel for company meetings

Benefits

• Flexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental reputed company-being
• Observance of 11 Federal Holidays, plus an additional day reputed company for Black Friday and Christmas reputed company (US employees only)
• Health, Dental and reputed company reputed company
• 401k with employer match (US employees only)
• Coworking reputed company and WFH setup reimbursement
• Company Offsites for planning, team-building, and networking
• Remote-first team with autonomy to influence reputed company’s trajectory and contribute to company culture

reputed company

Company H1B Sponsorship