HHiring Reality
← Kard Financial, Inc.

Senior Machine Learning Engineer

Kard Financial, Inc.
Location
Remote
Posted
17 days ago
Department
Engineering
What they actually want (must-haves)
  • 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
Nice to have
  • Experience with personalization, recommendation, ranking, optimization, experimentation, measurement, or real-time decisioning systems
  • Experience with technologies such as Python, Apache Spark, Databricks, MLflow, feature stores, or model-serving platforms
  • Experience operating ML workloads on AWS, Kubernetes or Amazon EKS, and infrastructure managed through Terraform
  • Experience building ML systems at enterprise, transaction-intensive, or regulated scale
What the job really is

As a Senior Machine Learning Engineer at Kard, you will design, build, and operate production systems that leverage machine learning for various applications such as personalization, recommendations, and optimization. You will work closely with other engineers and data scientists to transition models from experimentation to deployment, while also providing technical leadership and mentorship within the Data team.

Benefits
  • Flexible PTO, with a minimum requirement to take one day off a quarter, ten days a year
  • Observance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve
  • Health, Dental and Vision Insurance
  • 401k with employer match
  • Coworking space and WFH setup reimbursement
  • Company Offsites for planning, team-building, and networking
Things to weigh
  • Remote position with U.S. core business hours availability required
  • No specific degree or industry background required, but demonstrated experience is emphasized
  • Pay range is specified, but may vary based on experience
Job score3.4/5
Benefits3/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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