Staff Machine Learning Engineer
Samsara is seeking a Staff Machine Learning Engineer to develop and deploy AI features, optimize existing models, and contribute to strategic research initiatives. The role involves working with petabyte-scale data and collaborating with cross-functional teams. The ideal candidate will have 8+ years of experience as a Machine Learning Engineer.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
About The Company
Samsara (NYSE: IOT) is a pioneering technology company that has developed the Connected Operations™ Cloud, a comprehensive platform designed to enable organizations dependent on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. Our mission is to enhance safety, efficiency, and sustainability across industries that form the backbone of the global economy, including agriculture, construction, field services, transportation, and manufacturing. With a commitment to digital transformation, Samsara empowers these industries to optimize their processes at scale, driving innovation and long-term growth.
About The Role
The Samsara AI team is at the forefront of building end-to-end AI solutions and core machine learning infrastructure that serve our diverse customer base. As a Staff Machine Learning Engineer, you will be instrumental in working with petabyte-scale data, including sensor, diagnostic, video, and text information, to solve critical problems related to physical operations worldwide. Your role involves collaborating with ML engineers, scientists, full-stack developers, and firmware engineers to develop and deploy innovative AI features, optimize existing models, and contribute to strategic research initiatives. This remote position is open to candidates residing in the United States, with occasional travel up to 5%. Please note, relocation assistance is not provided.
Qualifications
- 8+ years of experience as a Machine Learning Engineer
- Deep expertise in optimizing ML models for edge computing constraints
- Proficiency with frameworks such as Spark, Ray, or similar
- Strong coding skills in Python or equivalent languages
- Experience with C++ or Rust programming
- Solid understanding of iterative machine learning product development processes
- Proven experience in developing and deploying large-scale production code
- Ability to translate ambiguous customer and business requirements into clear problem definitions
- Excellent verbal and written communication skills for technical and non-technical audiences
- Experience mentoring and coaching ML engineers
- Lead the design and implementation of critical AI product initiatives on edge devices
- Develop both tactical AI solutions and long-term research projects to advance our capabilities
- Manage and analyze petabyte-scale data from various sources, including text, diagnostics, sensors, cameras, and location data
- Collaborate across business units to prototype innovative AI experiences and enhance model performance on edge hardware
- Stay current with industry and academic research to incorporate novel technologies that align with Samsara’s strategic goals
- Embed Samsara’s cultural principles—focusing on customer success, building for the long term, adopting a growth mindset, fostering inclusivity, and winning as a team—into all aspects of work
- Competitive total compensation package including base salary, bonus/variable pay, and RSUs
- Flexible remote and hybrid working arrangements
- Comprehensive health benefits and wellness programs
- Opportunities for professional growth and development
- Inclusive and diverse work environment
- Support for accommodations and accessibility needs
Samsara is committed to fostering an inclusive workplace where all individuals are treated with respect and dignity. We provide equal employment opportunities regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, protected veteran status, disability, age, or any other characteristic protected by law.
Similar Jobs
Explore other opportunities that match your interests