Senior Perception Engineer
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Position Overview & Specifications
KeepTruckin builds technology using the latest advancements in AI and computer vision to improve the safety and efficiency of businesses with vehicles. Over one million drivers and 100,000 companies across every industry trust KeepTruckin’s integrated platform to power their operations, prevent accidents and reduce costs.
At KeepTruckin, we see our hard work rewarded in tangible ways every day, and we believe that intelligence is most powerful when paired with humility. We’re motivated by the opportunity to save lives on the road while impacting and improving every facet of multiple trillion-dollar industries that keep our physical economy moving. KeepTruckin is proud to be a Forbes Cloud 100 company, Forbes Best Startup Employer 2020, and an Inc Magazine Best Place to Work.
About the Role:
As a SWE, the person in this role will play a critical role in launching the core computer vision & machine learning technology that enables KeepTruckin’s AI products. In the past 2 years, we've built a world-class team that has experience designing and building state of the art technology algorithms from the ground up. We are now looking for world-class talent to join the team and continue this growth. We are looking for engineers that have experience launching and maintaining ML/CV/AI products at scale.
Learn more about our work culture and team members on this profile of our team here.
What You’ll Do:
Prototype, validate and iterate new CV and ML algorithm
Optimize, productionize, and monitor/refine performance of ML models on the cloud and the edge devices
Have a deep understanding of the business and operational impact for different technology tradeoffs, and be able to balance effectively based on the company’s need
Enable other engineers on the team to be more effective through design and code that is easy to extend and contribute to
Capable of influencing others and building consensus even over contentious technical debates
What We’re Looking For:
6+ YOE, BS, MS, or higher degree, in CS/CE/EE, or equivalent industry experience
Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
Extensive experience with machine learning, object detection, and classification
Extensive experience in deploying perception algorithms into real-world environments
Strong programming skills in Python or C++
Excellent mathematical reasoning skills
Creating a diverse and inclusive workplace is one of KeepTruckin's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please do not let an arrest or conviction record prevent you from applying for employment at KT. KT considers qualified applicants with arrest and conviction records.
Please review our Candidate Privacy Notice here.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Science and Engineering
Based on transatlantic hiring benchmarks for Senior Perception Engineer roles across KeepTruckin's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Science and Engineering.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £37,852 - £54,008 bracket, including retirement vesting and health parity.
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