{"id":884646,"url":"https://alion.io/job/kardfinancial-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":679460,"name":"Kard","domain":"kardfinancial.com","url":"https://alion.io/company/kardfinancial","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Amazon EKS","optional":true},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"Feature Store","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-03T23:15:12Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-11-06T06:06:01Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As our reach expands, we are building for a step-change in scale, and for opportunities ranging from more relevant rewards and marketer intelligence to new commerce and distribution models.\nAbout the Role\nAs a Senior Machine Learning Engineer, you will design, build, and operate the production systems that turn machine learning into durable product capabilities. Your scope will span 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 Kard.\nThis 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 move models from experimentation through deployment and ongoing operation. You will also provide technical leadership through architecture, engineering standards, mentorship, and design and code review.\nResponsibilities\nDesign, build, and operate end-to-end machine learning systems across batch and real-time workloads, including feature generation, training, evaluation, deployment, inference, and retraining.\nDevelop production capabilities for personalization, recommendations, ranking, optimization, contextual decisioning, experimentation, and measurement.\nBuild reusable ML platforms, pipelines, frameworks, and tooling that improve reproducibility, self-service, reliability, and development speed.\nOwn the operational lifecycle of production models, including observability, data and model quality, drift detection, performance monitoring, failure handling, retraining, and governance.\nPartner with other ML practitioners to turn prototypes and research into maintainable systems, and with Data and Product teams to integrate those systems into Kard’s products and platform.\nProvide technical leadership for ML architecture and distributed systems, making pragmatic tradeoffs among model performance, reliability, scalability, development speed, and operational complexity.\nDesired Skills\n8+ years of professional software engineering or machine learning engineering experience.\nA strong record of building, deploying, and operating machine learning systems in production.\nStrong software engineering fundamentals, including system design, APIs, testing, deployment, observability, and maintainable production code.\nExperience designing distributed systems, large-scale data-processing workflows, or high-throughput and low-latency services.\nFluency across the ML lifecycle, including data and feature pipelines, training, evaluation, model serving, monitoring, and retraining.\nThe ability to investigate production issues across models, data, application code, and infrastructure.\nThe judgment and autonomy to lead technically complex work, navigate ambiguity, and make architectural decisions with long-term consequences.\nStrong collaboration and communication skills, particularly when working across machine learning, data engineering, analytics, and product disciplines.\nA commitment to raising the technical capabilities of the broader team through mentorship, thoughtful review, documentation, and shared engineering practices.\nDemonstrated experience matters more to us than a particular degree or industry background.\nU.S. core business hours availability and willingness to travel for company meetings.\nBonus Points\nExperience with personalization, recommendation, ranking, optimization, experimentation, measurement, or real-time decisioning systems.\nExperience with technologies such as Python, Apache Spark, Databricks, MLflow, feature stores, or model-serving platforms.\nExperience operating ML workloads on AWS, Kubernetes or Amazon EKS, and infrastructure managed through Terraform.\nExperience building ML systems at enterprise, transaction-intensive, or regulated scale.\nRemote - USA Pay Range\n$160,000—$190,000 USD\nWhy Join:\nKard recognizes the unique value each of us brings to our collective success. As part of our remote-first team, you'll have the autonomy to influence our trajectory, actively contributing to the growth of our business and the evolution of our company culture. By embodying our core 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.\nOur competitive benefit plan includes:\nFlexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental well-being\nObservance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only)\nHealth, Dental and Vision Insurance\n401k with employer match (US employees only)\nCoworking space and WFH setup reimbursement\nCompany Offsites for planning, team-building, and networking\nKard is an equal opportunity employer and we actively encourage applicants of all genders, backgrounds, and experiences to apply. 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