Job details

Senior/Staff Machine Learning Engineer

In this role at Dexterity, you will be working on building Machine Learning models for computer vision. The role will involve understanding our current systems and their limitations and bringing your expertise in augmenting and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy.

You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc... Your job will not only be finding and perfecting the right model(s) and architecture, but also identifying key problems throughout our system that can be solved with machine learning. Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. In addition, a solid grounding in writing optimized code in c++ and python as well as understanding the limitations of languages and frameworks is critical. Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role.

At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures. While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview.

About Dexterity:

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!

Required Skills

BS/MS/Ph.D. in Computer Science, Machine Learning or a related discipline, or equivalent experience.
5 or more years of related work experience.
Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow.
Strong knowledge of Modern C++ and Python.
Experience using profilers and debuggers to optimize code.
Experience building and maintaining production code.
Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, flask and others.
Strong academic background and knowledge of ML and academic papers.
Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines.
Ability to trace and solve problems across interconnected systems, pipelines and applications.
Experience deploying software and configuring distributed systems.
Experience with Git and modern CI pipelines

Nice to haves:

Experience with Docker and Kubernetes
Previous startup experience

$170,000 - $225,000 a year

Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $170,000 to $225,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Average salary estimate

$197500 / YEARLY (est.)

min

max

$170000K

$225000K

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What You Should Know About Senior/Staff Machine Learning Engineer, Dexterity

As a Senior/Staff Machine Learning Engineer at Dexterity, you’ll have the opportunity to utilize your skills in building robust Machine Learning models tailored for computer vision applications. You'll dive deep into our existing systems, identifying their challenges while bringing your innovative approach to develop and enhance ML models. Your role won't just involve creating algorithms; you'll also be scaling and refining our ML pipelines to manage various scenarios, improving performance and precision every step of the way. Focus areas include semantic segmentation and instance segmentation, where you’ll stay abreast of the latest trends and techniques using tools like Pytorch and Tensorflow. The ideal candidate will possess a strong background in working with RGBD datasets and point clouds, with prior experience in ML and Computer Vision applications for fields like autonomous vehicles or robotics being highly beneficial. At Dexterity, we value optimized coding skills in C++ and Python alongside a solid understanding of cloud infrastructures necessary to build training and serving pipelines. Your projects will aim for low-latency inference due to our real-time processing requirements. You’ll be engaged in every phase of the ML process, from data gathering and augmentation to model training and troubleshooting in the field. If you're excited about pushing the boundaries of robotics, we want you on board as we empower our customers through intelligent automation solutions!

Frequently Asked Questions (FAQs) for Senior/Staff Machine Learning Engineer Role at Dexterity

What responsibilities does a Senior/Staff Machine Learning Engineer at Dexterity have?

The Senior/Staff Machine Learning Engineer at Dexterity is responsible for designing and developing machine learning models focused on computer vision. This includes understanding current systems, enhancing ML pipelines, and applying knowledge of semantic and instance segmentation to solve complex issues. The engineer will also engage in end-to-end practices from data gathering to model deployment.