or apply directly on Kard Financial, Inc.'s site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Kard Financial, Inc.'s roles stay open a median of 15 days
- Reposted
- No
- Salary listed
- No 25% of Kard Financial, Inc.'s roles list one
- Ghost-job risk at Kard Financial, Inc.
- moderate 2 stale, 0 reposted of 8 open
- Hiring momentum
- 8 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Kard Financial, Inc.'s own greenhouse board since 2026-08-03. Full hiring picture for Kard Financial, Inc..
About this role
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
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Kard Financial, Inc. as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from Kard Financial, Inc.'s posting. Read the full original.
Listed by Kard Financial, Inc. on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.