Role overview

Qualifications

Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
Knowledge of generative models, model distillation, or model inference acceleration.
Familiarity with PyTorch, TensorFlow, and other machine learning platforms.

Responsibilities

Develop solutions for autonomous driving, from experimentation to full commercialization.
Explore new ideas using deep learning, neural networks, and large foundation models.
Work on object detection, tracking, prediction, planning, control, online mapping, and more.
Manage the full life cycle of machine learning projects, including data analysis and model verification.

Key facts

Remote from: Anywhere
Full time
Senior (5-10 years)
Machine Learning Engineer
English

Hard skills

Computer Vision Deep Learning Object Detection Machine Learning Artificial Neural Networks Foundation Engineering Generative Artificial Intelligence Fractional Distillation Trajectory Planning Well Control Digital Mapping Model Validation PyTorch (Machine Learning Library) TensorFlow Algorithm Analysis Project Cycle Management Cross-Functional Collaboration

Other skills

Planning
Collaboration
Teamwork
Adaptability
Communication

About the company

Talentry, LLC

Staffing & Recruiting

Talentry was founded by two folks with over 30 combined years of expertise in the IT and technical industries in Southern California. Our proven experience with project delivery, consulting, staff augmentation, training and headhunting make us particularly effective at designing cost-effective solutions for our clients. We provide: - IT/Software project work - We already have a solid track record delivering systems consulting, as well as software, mobile, and web development. - Technical recruiting - staffing and headhunting in IT/Engineering and other technical spaces. - Training – organizational development and workforce optimization training. Particularly popular are training sessions geared toward enhancing the ability of hiring managers to effectively attract, select, and hire candidates. We have been successful through the “ups and downs” because we focused on one simple axiom: Technology and Engineering departments/companies have business problems that need to be solved. In today’s landscape, the solution isn’t always clear. Having the right people on hand to help solve these problems has never been so challenging for our clients. Large professional services firms have been extremely costly to them, and have delivered mixed results. We founded Talentry simply to solve difficult problems that lie along that most challenging border: the intersection of people and technology. We’ve been successful leveraging our core strengths: Creativity, Adaptability, Integrity, and a relentless focus on Solution Delivery! But enough about us — let’s talk about you! Are you having trouble finding the right technical solution to deliver your best to your internal or external clients? Do you have the right people for the job? Do you have budget overruns on major IT initiatives? Are vendors or nationally branded consulting firm is “holding you hostage?” Do you need someone to pick up the slack while an employee is on vacation? We can help!

Company details

Company typeStartup

IndustryStaffing & Recruiting

Company size2 - 10

Links

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Job description

This is a remote position.

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible

*** This is NOT Financial, Recommendation Engines, Healthcare, etc. This IS Autonomous Driving. Previous experience a must.***

Description

Develop solutions for autonomous driving, from experimentation to full commercialization.
Explore new ideas using deep learning, neural networks, and large foundation models.
Work on object detection, tracking, prediction, planning, control, online mapping, and more.
Manage the full life cycle of machine learning projects, including data analysis and model verification.
Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

Requirements

Qualifications

Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
Knowledge of generative models, model distillation, or model inference acceleration.
Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
Ability to work independently in a fast-paced environment and collaborate on complex projects.
A track record of research publications in top conferences/journals is preferred.

Benefits

Benefits

Work on cutting-edge autonomous navigation technology.
Opportunity to contribute to world-first innovations.
Vibrant and fast-paced work environment.
Exposure to cross-team projects and collaboration.
Chance to transform dreams into reality in the future of transportation.
Excellent salary and benefits – chance to get in on the ground floor!

Salary: 200-300k