Staff Machine Learning Engineer, Edge AI/Model Optimization Position Available In Montgomery, Pennsylvania

Job Description:

Samsara (

NYSE:

IOT) is the pioneer of the Connected Operations™Cloud, which is a platform that enables organizations that dependon physical operations to harness Internet of Things (IoT) data todevelop actionable insights and improve their operations. AtSamsara, we are helping improve the safety, efficiency andsustainability of the physical operations that power our globaleconomy. Representing more than 40% of global GDP, these industriesare the infrastructure of our planet, including agriculture,construction, field services, transportation, and manufacturing —and we are excited to help digitally transform their operations atscale. Working at Samsara means you’ll help define the future ofphysical operations and be on a team that’s shaping an excitingarray of product solutions, including Video-Based Safety, VehicleTelematics, Apps and Driver Workflows, Equipment Monitoring, andSite Visibility. As part of a recently public company, you’ll havethe autonomy and support to make an impact as we build for the longterm.

About the role:

The Samsara AI team builds end-to-end AIsolutions for our customers as well as core ML infrastructure forSamsara. As a Staff Machine Learning Engineer, you will be workingwith petabyte-scale sensor, diagnostic, video, and text data tosolve critical problems for Physical Operations customers,globally. You will work closely with ML Engineers and Scientists,as well as full-stack and firmware engineers to deliver coreproduct features, services, and optimizations. This is a remoteposition open to candidates residing in the United States. Thisposition requires travel up to 5% of the time. Relocationassistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: Thesoftware, firmware, and hardware you build will result inreal-world impact—helping to keep the lights on, get food intogrocery stores, and most importantly, ensure workers return homesafely.
• You want to build for scale: With over 2.3 million IoTdevices deployed to our global customers, you will work on a rangeof new and mature technologies driving scalable innovation forcustomers across industries driving the worlds physical operations.
• You are a life-long learner: We have ambitious goals. EverySamsarian has a growth mindset as we work with a wide range oftechnologies, challenges, and customers that push us to learn onthe go.
• You believe customers are more than a number: Samsaraengineers enjoy a rare closeness to the end user and you will havethe opportunity to participate in customer interviews, collaboratewith customer success and product managers, and use metrics toensure our work is translating into better customer outcomes.
• Youare a team player: Working on our Samsara Engineering teamsrequires a mix of independent effort and collaboration. Motivatedby our mission, we’re all racing toward our connected operationsvision, and we intend to win—together. In this role, you will:
• Lead design and implementation of critical AI product initiativeson Edge devices.
• Develop both tactical AI solutions as well asmore strategic and longer term research.
• Work with petabyte-scaledata from customer operations including text, transactions,diagnostics, sensor, camera, and location data.
• Partner acrossbusiness units to explore and prototype new AI experiences andoptimize the ML model performance on edge devices.
• Stay connectedto industry and academic research and adopt novel technology thatsuits Samsara’s needs.
• Champion, role model, and embed Samsara’scultural principles (Focus on Customer Success, Build for the LongTerm, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as wescale globally and across new offices.

Minimum requirements for therole:

• 8 years experience as a Machine Learning Engineer.
• Profound experience in optimizing ML models and systems for Edgecompute constraints.
• Proficient with Spark, Ray, or a similarframework.
• Coding in python or similar.
• Coding in C++ or Rust.
• Strong functional knowledge of the iterative machine learningproduct development process.
• Experienced in developing andshipping production code at large scale.
• Ability to distillinformal or ambiguous customer and business requirements into crispproblem definitions.
• Proven ability to communicate verbally andin writing to technical peers and leadership teams with variouslevels of technical knowledge.
• Experience coaching and mentoringML Engineers.

An ideal candidate also has:

• Proficiency inself-serving with data for experiments and model training at scale.
• An established record of successful high impact deliveries in AI.
• Deep knowledge in state of the art Computer Vision andmulti-model models.