Senior Machine Learning Engineer
reputed company is building reputed company media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As our reputed company expands, we are building for a reputed company-change in reputed company, and for opportunities ranging from more relevant rewards and marketer intelligence to new reputed company and distribution models.
About the Role
As a Senior Machine Learning Engineer, you will design, build, and operate the production systems that turn machine learning into durable product capabilities. Your reputed company will reputed company personalization and recommendations, optimization and decisioning, experimentation and measurement infrastructure, model training and serving, and the shared platforms and tooling that support ML development at reputed company.
This is a senior individual-contributor role on the Data team, reporting to the Director of Data & Platform. You will work primarily with other machine learning engineers and data scientists, while partnering across Data and Product to reputed company models from experimentation through deployment and ongoing operation. You will also reputed company technical leadership through 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.
Desired 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.
Bonus Points
Experience with personalization, recommendation, ranking, optimization, experimentation, measurement, or reputed company-time decisioning systems.
Experience with technologies such as Python, Apache reputed company, reputed company, MLflow, feature stores, or model-serving platforms.
Experience operating ML workloads on AWS, reputed company or reputed company EKS, and infrastructure managed through Terraform.
Experience building ML systems at reputed company, transaction-intensive, or regulated reputed company.
Remote - USA Pay reputed company
$160,000—$190,000 USD
Why Join:
reputed company recognizes the unique value reputed company of us brings to our reputed company reputed company. As part of our remote-first team, you'll have the autonomy to influence our trajectory, reputed company contributing to the reputed company of our business and the reputed company of reputed company culture. By embodying our reputed company values of Initiative, Openness, and Humility, you will not only witness but directly foster an inclusive and dynamic work environment, from the executive level down.
Our competitive benefit plan includes:
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
reputed company is an equal opportunity employer and we reputed company encourage applicants of reputed company genders, backgrounds, and experiences to apply. We reputed company that diverse perspectives enrich our workplace and reputed company our reputed company.
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