Jobright.ai
Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
Jobright.ai, Fremont, California, us, 94537
Machine Learning Engineer, ML Runtime & Optimization, Mid-Level Join to apply for the
Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
role at
Jobright.ai
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Machine Learning Engineer, ML Runtime & Optimization, Mid-Level 2 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
role at
Jobright.ai Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. Responsibilities: • Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. • Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. • Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. • Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Qualifications: Required: • BS/MS or Ph.D in computer science, electrical engineering or a related discipline. • Strong programming skills in C/C++ or Python. • Experience on model optimization, quantization or other efficient deep learning techniques. • Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. • Experience with profiling, benchmarking and validating performance for complex computing architectures. • Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. • Strong communication skills and ability to work cross-functionally between software and hardware teams. Preferred: • Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. • Experience in computer vision, machine learning and deep learning. • Strong knowledge of software design, programming techniques and algorithms. • Good knowledge of common deep learning frameworks and libraries. • Deep knowledge on system performance, GPU optimization or ML compiler. Company: Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. Founded in 2016, the company is headquartered in Fremont, California, USA, with a team of 1001-5000 employees. The company is currently Public Company. Pony.ai has a track record of offering H1B sponsorships. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.AI/ML Engineer (Multiple roles and seniority levels) San Jose, CA $137,500.00-$236,500.00 5 days ago San Jose, CA $120,700.00-$228,600.00 1 week ago Milpitas, CA $152,500.00-$219,200.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 9 months ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 4 days ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 10 months ago Machine Learning Engineer (I, II, or Sr.) San Jose, CA $120,700.00-$228,600.00 5 days ago Machine Learning Engineer, Early Stage Project Mountain View, CA $136,000.00-$185,000.00 1 week ago San Jose, CA $137,500.00-$236,500.00 1 month ago Sunnyvale, CA $158,200.00-$185,000.00 3 weeks ago Machine Learning Engineer (I, II, or Sr.)Data Scientist II – Experimentation & Measurement San Mateo, CA $153,300.00-$229,900.00 1 week ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Jose, CA $118,657.00-$187,200.00 1 week ago Sunnyvale, CA $167,000.00-$185,500.00 1 month ago San Jose, CA $120,000.00-$240,000.00 4 months ago San Jose, CA $169,500.00-$291,500.00 5 days ago Sunnyvale, CA $167,000.00-$185,500.00 3 weeks ago San Jose, CA $120,700.00-$301,200.00 1 week ago New Grads 2025 - General Software Engineer San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $130,000.00-$182,000.00 11 months ago San Jose, CA $142,700.00-$257,600.00 1 week ago Redwood City, CA $167,200.00-$250,800.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
role at
Jobright.ai
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Machine Learning Engineer, ML Runtime & Optimization, Mid-Level 2 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer, ML Runtime & Optimization, Mid-Level
role at
Jobright.ai Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. Responsibilities: • Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. • Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. • Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. • Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Qualifications: Required: • BS/MS or Ph.D in computer science, electrical engineering or a related discipline. • Strong programming skills in C/C++ or Python. • Experience on model optimization, quantization or other efficient deep learning techniques. • Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. • Experience with profiling, benchmarking and validating performance for complex computing architectures. • Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. • Strong communication skills and ability to work cross-functionally between software and hardware teams. Preferred: • Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. • Experience in computer vision, machine learning and deep learning. • Strong knowledge of software design, programming techniques and algorithms. • Good knowledge of common deep learning frameworks and libraries. • Deep knowledge on system performance, GPU optimization or ML compiler. Company: Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. Founded in 2016, the company is headquartered in Fremont, California, USA, with a team of 1001-5000 employees. The company is currently Public Company. Pony.ai has a track record of offering H1B sponsorships. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.AI/ML Engineer (Multiple roles and seniority levels) San Jose, CA $137,500.00-$236,500.00 5 days ago San Jose, CA $120,700.00-$228,600.00 1 week ago Milpitas, CA $152,500.00-$219,200.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 9 months ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 4 days ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 10 months ago Machine Learning Engineer (I, II, or Sr.) San Jose, CA $120,700.00-$228,600.00 5 days ago Machine Learning Engineer, Early Stage Project Mountain View, CA $136,000.00-$185,000.00 1 week ago San Jose, CA $137,500.00-$236,500.00 1 month ago Sunnyvale, CA $158,200.00-$185,000.00 3 weeks ago Machine Learning Engineer (I, II, or Sr.)Data Scientist II – Experimentation & Measurement San Mateo, CA $153,300.00-$229,900.00 1 week ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Jose, CA $118,657.00-$187,200.00 1 week ago Sunnyvale, CA $167,000.00-$185,500.00 1 month ago San Jose, CA $120,000.00-$240,000.00 4 months ago San Jose, CA $169,500.00-$291,500.00 5 days ago Sunnyvale, CA $167,000.00-$185,500.00 3 weeks ago San Jose, CA $120,700.00-$301,200.00 1 week ago New Grads 2025 - General Software Engineer San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $130,000.00-$182,000.00 11 months ago San Jose, CA $142,700.00-$257,600.00 1 week ago Redwood City, CA $167,200.00-$250,800.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr