Applied Industrial Technologies

3 months ago

Sensor Sim - ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Software engineer role focusing on incorporating modern machine learning into production-grade sensor simulation, collaborating with research and rendering/physics teams to model worlds and sensors (Lidars, Radars, Cameras) for autonomous systems, with a path to production value and customer impact.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Drive research, development and deployment of generative and other machine learning techniques into our sensor simulator
•Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques
•Focus on projects with a clear path to production value and customer impact
•Collaborate with research teams to apply state-of-the-art ML approaches to model worlds and sensors such as Lidars, Radars and Cameras
•Contribute to production-grade sensor simulation that boosts team productivity and real-world applications

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityLearning Budget

Key Requirements

•Bachelor's degree in Computer Science, Software Engineering, or equivalent
•5+ years of experience building software components or (sub) systems that address real-world machine learning challenges
•Hands-on experience with evaluation and optimization for large generative models
•Hands-on experience with agentic system design
•Deep understanding of machine learning foundations and ability to apply various techniques to new problems

Experience:5+ yearsAutonomyRoboticsSimulation

Education:Bachelor's

Company Brief

Applied Industrial Technologies

Applied Industrial Technologies is a distributor of industrial products and services, supplying bearings, power transmission, fluid power, safety products, and engineered solutions to maintenance, repair and operations customers and OEMs.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn

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Applied Industrial Technologies

3 months ago

Sensor Sim - ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Drive research, development and deployment of generative and other machine learning techniques into our sensor simulator
•Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques
•Focus on projects with a clear path to production value and customer impact
•Collaborate with research teams to apply state-of-the-art ML approaches to model worlds and sensors such as Lidars, Radars and Cameras
•Contribute to production-grade sensor simulation that boosts team productivity and real-world applications

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityLearning Budget

Key Requirements

•Bachelor's degree in Computer Science, Software Engineering, or equivalent
•5+ years of experience building software components or (sub) systems that address real-world machine learning challenges
•Hands-on experience with evaluation and optimization for large generative models
•Hands-on experience with agentic system design
•Deep understanding of machine learning foundations and ability to apply various techniques to new problems

Experience:5+ yearsAutonomyRoboticsSimulation

Education:Bachelor's

Company Brief

Applied Industrial Technologies

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn