[Remote] Sr./Staff Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Oscilar is building the next generation of AI-powered risk decisioning for fintech. They are seeking a Machine Learning Engineer to build, deploy, and maintain the ML infrastructure that powers their platform, working closely with data scientists and engineers to integrate ML capabilities.ResponsibilitiesScale and optimize existing ML systems. Improve the performance, reliability, and cost-efficiency of our current ML infrastructure, including feature stores, model serving, and orchestration pipelinesBuild reproducible, automated ML pipelines. Design and operate the pipelines that power model training, deployment, and monitoring across the platform — so models ship reliably and repeatably, not as one-off integrations. Partner with data scientists to make low-latency production deployment a paved pathBuild new ML infrastructure. Design and implement new components of our ML stack as the platform grows, with a focus on scalability, modularity, and developer experienceSet ML engineering standards. Help define best practices for model deployment, monitoring, and lifecycle management. Mentor teammates and raise the bar across the organizationOwn production reliability. Be responsible for the uptime, performance, and correctness of ML systems serving real-time, business-critical decisionsSkills4+ years of experience building and maintaining production ML infrastructureStrong software engineering fundamentals, with experience designing distributed systems and writing high-quality, maintainable codeHands-on experience with the full ML lifecycle in production: feature engineering and serving, model deployment, monitoring, and retrainingProficiency in Scala and Python, with hands-on experience building data and ML workloads on distributed processing frameworks such as Spark and FlinkExperience operating systems at scale, including performance tuning, observability, and incident responseStrong communication skills and the ability to collaborate effectively across data science, engineering, and product teamsSignificant experience building and operating workloads on AWSExperience building ML infrastructure for fintech applicationsTrack record of scaling ML systems through significant growth in traffic, models, or feature volumeBenefitsCompetitive salary and equity packages, including a 401kRemote-first culture — work from anywhere100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)Unlimited PTO policyAI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and ProductFamily-Friendly environment; Regular team events and offsitesUnparalleled learning and professional development opportunitiesMaking the internet safer by protecting online transactionsCompany OverviewThe smartest way to make risk decisions. It was founded in 2021, and is headquartered in Palo Alto, California, USA, with a workforce of 201-500 employees. Its website is https://oscilar.com/.Company H1B SponsorshipOscilar has a track record of offering H1B sponsorships, with 1 in 2026, 9 in 2025, 3 in 2024, 2 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.