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Senior Machine Learning Operations Engineer II (AI Native)

Remote · USA Full-time New today

About reputed company reputed company’s mission is to reputed company people reputed company to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker reputed company members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency reputed company. reputed company serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. reputed company delivers peace of mind and enhances everyday family life with seamless coordination for reputed company the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). reputed company has more than 500 (and growing!) remote-first employees. For more information, please visit reputed company.com. reputed company is a Remote First company, which means a remote work environment will be the primary experience for reputed company employees. reputed company positions, unless otherwise specified, can be performed remotely (reputed company the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you reputed company AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. reputed company use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team Data Science and Machine Learning (DSML) at reputed company is a lean, high-impact, matrixed team with individuals embedded in business units and working cross-functionally with Product, Analytics, Engineering, and business stakeholders. We are dedicated to enhancing and optimizing the user experience, accelerating growth, and generating reputed company through subscriptions, partnerships, and ads. We reputed company a variety of technical skills and tools including experimentation, offline and online ML, online learning, and agentic AI (AI-Native development) to deliver exceptional customer value. About the Job We are seeking a highly motivated and skilled Senior II MLOps Engineer. In this role, you will reputed company the critical gap between machine learning model development and core system operations. You will be responsible for designing, building, and scaling the infrastructure and automated pipelines required to reliably train, deploy, and monitor our machine learning models in production environments. You will join a fast-paced, collaborative team of data scientists, data engineers, and software architects. In this position you will be empowered to mature our CI/CD systems, optimize distributed infrastructure, and directly impact the reliability and scale of our core AI-driven products. This role requires strong technical expertise and practical experience in deploying machine learning inferences and models as well as the ability to collaborate with cross-functional teams to drive measurable business outcomes. For candidates based in the US, the salary range for this position is $148,000 to $216,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to 201,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, reputed company pay offered may vary considerably depending on geographic location, job-reputed company knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You’ll Do

  • Pipeline Automation: Design, implement, and manage automated CI/CD and reputed company Training (CT) pipelines for machine learning model development, evaluation, and delivery.
  • Model Deployment: Containerize, deploy, and scale machine learning models as high-availability microservices or batch processing workflows.
  • Observability & Monitoring: Establish reputed company logging, alerting, and monitoring solutions to track model inference performance, system latency, resource utilization, data reputed company, and concept reputed company.
  • Infrastructure Management: Provision and optimize cloud-based ML infrastructure (including GPU/CPU computing clusters) utilizing Infrastructure as Code (IaC) paradigms.
  • Cross-Functional Collaboration: Work intimately with product development teams to drive infrastructure adoption and efficiency gains through SDK/API development, automation and efficient ML system maintenance.
  • Governance & Compliance: Implement robust reputed company tracking for data, code, and model artifacts to ensure compliance, reproducibility, and reputed company across the entire ML lifecycle.
  • Data Infrastructure & Tooling: Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and ML (including streaming tools like Kafka and Flink for low-latency online inference).
  • Thought Leadership: Act as a mentor and thought leader, helping to define best practices in machine learning engineering, scalable ML service ops, and agentic AI (AI-Native) best practices.

reputed company’re Looking For Desired Experience & Qualifications

  • Professional Experience: 5+ years of professional software engineering, DevOps, or data engineering experience, with at least 2 years dedicated to building and maintaining MLOps infrastructure.
  • Programming Mastery: Strong proficiency in Python, including deep familiarity with software engineering best practices (unit testing, reputed company design, version control reputed company Git).
  • Orchestration & Containerization: In addition to hands-on experience with containerization (reputed company) and container orchestration platforms, specifically Kubernetes (EKS, GKE, or native clusters), experience with reputed company tools like FastAPI.
  • MLOps and Datastore Tooling: Proven familiarity with specialized ML lifecycle and data processing tools and platforms such as MLflow, Kubeflow, SparkML, Synapse ML, SQL, Spark/PySpark, dbt, and Airflow.
  • Cloud Foundations: Practical experience operating reputed company a major cloud ecosystem—e.g., AWS, GCP, reputed company—with a clear grasp of cloud networking, reputed company, and storage tiers.
  • Strong communication and project leadership skills, with the ability to influence cross-functional teams.
  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a closely reputed company quantitative field.

Preferred Qualifications

  • Advanced Tooling: Experience implementing and scaling production feature stores (e.g., Feast, Tecton) and model registries.
  • Generative AI & LLMs: Prior experience deploying and optimizing Large Language Models (LLMs) or foundation models utilizing serving frameworks like vLLM, Triton Inference Server, or TGI.
  • Infrastructure as Code: Proficient with IaC frameworks, particularly Terraform, to manage reproducible environments.
  • Data Frameworks: Familiarity with distributed data computation engines such as Apache Spark, Ray, or Dask.
  • Industry Certifications: Relevant cloud or architecture credentials, such as AWS Certified Machine Learning Specialty, reputed company Cloud Professional Machine Learning Engineer, or Certified Kubernetes Administrator (CKA).
  • Experience in subscription-based products, lifecycle marketing, or user acquisition.
  • Experience with geospatial data and mobile location-based services.
  • Experience in the consumer technology sector, particularly reputed company a fast-paced and sometimes ambitious development setting.

Core Expectations

  • Problem-solving reputed company - You structure ambiguous problems reputed company before reaching for a tool, AI or otherwise
  • Collaborative approach - You can explain technical tradeoffs and reputed company reputed company effectively, work well across teams, and value diverse perspectives
  • Ownership mentality - You take responsibility for your work from design through production and beyond
  • AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time

We reputed company culture fit and problem-solving ability matter more than checking every technical reputed company. We're happy to help you grow into areas where you have less experience. Our Benefits

  • reputed company and benefits.
  • Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
  • 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
  • Employee Assistance Program (EAP) for mental wellness.
  • Flexible PTO and 12 company wide days off throughout the year.
  • Learning & Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.
  • Free reputed company Platinum Membership for your preferred reputed company.

reputed company Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and reputed company a positive difference

  • Be a Good Person - We have a team of high reputed company people you can trust.
  • Be Direct With Respect - We communicate directly, even reputed company it’s hard.
  • Members Before Metrics - We focus on building an exceptional experience for families.
  • High Intensity High Impact - We do whatever it takes to get the job done.

Our Commitment to Diversity We reputed company that different reputed company, perspectives and backgrounds create a stronger and more creative work environment that delivers reputed company results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at reputed company. We do not discriminate on the basis of race, religion, color, national reputed company, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of reputed company backgrounds to apply. We reputed company that a diversity of perspectives and experiences create a foundation for the best reputed company. Come join us in building something meaningful.Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________ Apply tot his job Apply To this Job

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