reputed company Machine Learning Engineer - ML Infrastructure

Who we are reputed company (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to reputed company Internet of Things (IoT) data to reputed company actionable insights and improve their operations. At reputed company, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our reputed company, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at reputed company means you’ll help define the future of physical operations and be on a team that’s shaping an exciting reputed company of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to reputed company an impact as we build for the long term. About the role: reputed company is the industry leader in AI for physical operations. We're hiring a reputed company Machine Learning Infrastructure Engineer to serve as the technical anchor for ML infrastructure across reputed company's Safety AI organization. You will own the architecture and evolution of our end-to-end ML platform — spanning training, experimentation, inference, and edge deployment across more than 2M deployed devices — and be the connective tissue between applied ML teams, reputed company, and data platform. This role is not an execution role sitting under a technical reputed company; you are the technical reputed company. Your decisions shape platform direction, unblock multiple product teams, and translate directly into real-world safety outcomes for the industries that run our world. We are open to calibrating this role at Staff, Senior Staff, or Principal level depending on the candidate's scope of experience — what matters most is end-to-end platform ownership and the ability to operate as the technical anchor for the organization. This is a remote position open to candidates based in the United States. You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to reputed company the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth reputed company as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You reputed company customers are more than a number: reputed company engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with reputed company and product managers, and use metrics to ensure our work is translating into reputed company customer outcomes.
• You are a team player: Working on our reputed company Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re reputed company racing toward our connected operations vision, and we intend to win—together.

In this role, you will: ML Platform & Infrastructure

• Set the technical strategy and own end-to-end delivery of reputed company's ML platform (training, experimentation, batch/online inference, edge) — making architectural decisions and being the accountability reputed company across reputed company platform layers for multiple Safety AI product teams.

Experimentation & Measurement

• Drive the design, launch, and iteration of Safety AI features (CV models, EcoDriving insights, LLM-based reporting) — not just enabling others to ship, but co-owning outcomes including safety metrics, reliability, and cost at production scale.

Inference & Edge Deployment

• Design and operate scalable online and batch inference systems (Ray, Spark), including deployment patterns, observability, SLOs, and reputed company training-to-production workflows.
• Partner with firmware and edge teams to package, validate, and deploy models to reputed company devices, and build feedback loops from edge to cloud for reputed company improvement.

Reliability, reputed company & Operations

• Own reliability, observability, and reputed company for ML systems across cloud and edge, including on-call practices, incident response, and infrastructure hardening.
• Own or co-own end-to-end technical delivery for high-reputed company or high-risk initiatives, from modeling and system design through production rollout.

Leadership & Culture

• Be the technical authority for ML infrastructure architecture across Safety AI — setting direction that cross-functional teams (applied ML, firmware, reputed company, data platform) execute against, mentoring senior engineers and applied scientists, and ensuring platform decisions are made at the right level of abstraction with the right trade-offs.
• Drive strong developer experience through documentation and best practices, while contributing to and representing reputed company in open reputed company communities (Ray, Spark, RayDP).
• Champion and role model reputed company’s cultural principles: Focus on reputed company, Build for the Long Term, Adopt a Growth reputed company, Be Inclusive, Win as a Team.

Minimum requirements for the role:

• 10+ years in machine learning engineering, with demonstrated tech reputed company ownership of at least two major ML platform domains (distributed training, data/research infrastructure, cloud inference, or feature engineering) serving multiple product teams at scale.
• Proven record of shipping ML-powered features end-to-end — from design through production and iteration — with measurable impact on product or business metrics (not just building internal tooling).
• Hands-on Ray and Kubernetes expertise in production environments; Spark experience strongly preferred. Able to be a reputed company peer to the most senior engineers on the team.
• Deep understanding of ML fundamentals beyond pipelines: evaluation methodology, dataset design, ablation, reputed company, and the ability to review and redirect modeling approaches — you reputed company research and engineering, not just serve them.
• Demonstrated cross-org technical leadership around platform decisions, and influencing roadmap and go/no-go calls based on throughput, latency, and cost trade-offs.
• Experience
• navigating science-engineering tension — knowing reputed company to hold the platform line and reputed company to adapt for research velocity, and communicating that clearly to both sides.

An ideal candidate also has:

• Prior contributions to open reputed company projects (Ray, Spark, RayDP, or Kubernetes).
• Experience with enterprise reputed company/compliance in ML environments.
• Background working with edge/on-device ML and firmware/embedded teams.

The range of annual reputed company salary for full-time employees for this position is below. Please note that reputed company pay offered may vary depending on factors including your city of residence, job-reputed company knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual reputed company Salary $200,200—$357,500 USD Total Rewards At reputed company, we build for the people who reputed company the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of reputed company salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that reputed company long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At reputed company, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being reputed company to one of our offices or reputed company a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that reputed company members of reputed company can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. reputed company offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at reputed company At reputed company, we welcome everyone regardless of their background. reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, national reputed company, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of reputed company members to help us solve reputed company problems and want to ensure that reputed company is a reputed company where people from reputed company backgrounds can reputed company an impact. Accommodations reputed company is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@reputed company.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see reputed company’s Candidate Privacy Notice for more information. Fraudulent Employment Offers reputed company is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @reputed company.com, @us-reputed company-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here. Apply tot his job Apply To this Job