Remote Senior Machine Learning Engineer, Robotics/Computer Vision

Remote position (Only candidates located in Argentina or Uruguay will be considered)

At Ryz Labs we are looking for Senior Machine Learning Engineer to join one of our client’s teams. They aim to develop reliable and efficient perception and prediction software for sidewalk autonomy. Their Perception & Prediction team is looking for an enthusiastic individual who can tackle complex technical challenges in sidewalk autonomy, including perception, prediction, and other innovative machine learning tasks.

Key Responsibilities

- Build foundational model for vision language and action that can exhibit good reasoning and maneuvering capability. Understands transformer based ML architecture really well.

- Design, train and deploy learning-based perception models for on-robot perception systems. Perception models should be able to do multi-modal learning capturing different semantics such as segmentation, object detection, scene understanding and tracking.

- Work with ML infrastructure engineers to assess and monitor model performance, analyze and resolve performance bottlenecks.

- Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products.

- Produce high-quality code for software development, participate in code reviews to ensure the quality of code, and share knowledge with the team.

- Comfortable working with sql queries and ETL logic for data ingress.

Qualifications

- Ms/PhD in Computer Science with minimum 5 years of industry experience with focus in ML/DL, Robotics, similar technical field of study, or equivalent practical experience

- Minimum 2 years of industry experience with training & shipping ML models into production and tracking its lifecycle maintenance process.

- Deep understanding of computer vision, machine learning and deep learning basic concepts.

- Strong C++ and Python programming skills for efficient and robust code.

- Experience with multiple sensors such as Lidar, Mono/Stereo cameras, IMU, etc.

- Strong communication skills.

What makes you stand out

- Publications on top conferences or journals such as CVPR, NeurIPS, ICCV, TPAMI, TRO, etc.

- Demonstrated proficiency in tackling robotics and computer vision challenges within at least two of the following domains: multi-sensor feature extraction and fusion, object detection and tracking, 3D Estimation, and embodied AI with Transformer based models.

- Familiarity with edge-device perception stack deployment, experience with NVIDIA software libraries such as CUDA or TensorRT.

- Open source project contributor.

- Experience with GCP or AWS, Kubernetes and Docker.

About RYZ Labs:

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world’s largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

Our values and what to expect:

- Customer First Mentality - every decision we make should be made through the lens of the customer.

- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.

- Ownership -  step up if you see an opportunity to help, even if not your core responsibility.

- Humility and Respect - be willing to learn, be vulnerable, and treat everyone that interacts with RYZ with respect.

- Frugality - being frugal and cost-conscious helps us do more with less.

- Deliver Impact - get things done in the most efficient way.

- Raise our Standards - always be looking to improve our processes, our team, our expectations. Status quo is not good enough and never should be.