Senior Machine Learning Engineer

🕒 September 4

🇺🇸 United States – Remote

💵 $160k - $190k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Kard

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Kard is a company that offers the first rewards-as-a-service API aimed at enhancing customer loyalty for cardholders and shoppers. By providing marketers and banks with tools to launch customizable loyalty programs quickly, Kard enables them to engage inactive cardholders and encourage repeat purchases. The company's platform is designed with a focus on security and compliance, ensuring confidence in its products. Kard's solutions help marketers reach new audiences, card issuers to create branded loyalty programs, and consumers to earn rewards effortlessly across numerous locations in the U. S.

📋 Description

• Design, build, and operate end-to-end machine learning systems across batch and real-time workloads, including feature generation, training, evaluation, deployment, inference, and retraining • Develop production capabilities for personalization, recommendations, ranking, optimization, contextual decisioning, experimentation, and measurement • Build reusable ML platforms, pipelines, frameworks, and tooling to improve reproducibility, self-service, reliability, and development speed • Own the operational lifecycle of production models, including observability, data and model quality, drift detection, performance monitoring, failure handling, retraining, and governance • Partner with ML practitioners to turn prototypes and research into maintainable systems • Collaborate with Data and Product teams to integrate ML systems into Kard’s products and platform • Provide technical leadership for ML architecture and distributed systems, balancing model performance, reliability, scalability, development speed, and operational complexity • Report to the Director of Data & Platform and provide mentorship, documentation, and design and code review

🎯 Requirements

• 8+ years of professional software engineering or machine learning engineering experience • Strong record of building, deploying, and operating machine learning systems in production • Strong software engineering fundamentals, including system design, APIs, testing, deployment, observability, and maintainable production code • Experience designing distributed systems, large-scale data-processing workflows, or high-throughput and low-latency services • Fluency across the ML lifecycle, including data and feature pipelines, training, evaluation, model serving, monitoring, and retraining • Ability to investigate production issues across models, data, application code, and infrastructure • Judgment and autonomy to lead technically complex work, navigate ambiguity, and make architectural decisions with long-term consequences • Strong collaboration and communication skills across machine learning, data engineering, analytics, and product disciplines • Commitment to raising the technical capabilities of the broader team through mentorship, thoughtful review, documentation, and shared engineering practices • U.S. core 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 well-being • Observance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only) • Health, Dental and Vision Insurance • 401k with employer match (US employees only) • Coworking space and WFH setup reimbursement • Company Offsites for planning, team-building, and networking