Data Scientist / Senior Data Scientist

About Us:

RadiusAI is a growth-stage startup that develops novel machine learning and computer vision techniques for ambient and actionable intelligence. Our Viztel technology enables real-time 3D scene reconstruction, motion capture and behavior analysis of customers and patients in a privacy-aware fashion. We develop and deploy ML models that combine diverse data to directly impact key performance indicators for our clients. Through strong partnerships with leading retailers and healthcare providers, we are able to apply machine learning, computer vision and robotics at scale. We are passionate about strong research with real-world impact.

About You:

You are driven and passionate about data and making a difference. You are looking to join a promising early-stage startup to have a deep impact. You understand code quality and can take initiatives to improve it. You are always curious, and you are humble about what you already know.

About the Job:

We are currently looking to hire multiple (senior) data scientists with experience in cutting-edge data science and machine learning. We are particularly excited about candidates with experience (academia or industry) in deep learning, deployment of ML models, computer vision, large-scale machine learning, data filtering and augmentation, etc. We encourage publications at top-tier conferences, such as NeurIPS, CVPR, AAAI, etc.
You will work with state-of-the-art technologies in our data science team. You will be responsible for researching, developing, training, optimizing and deploying machine learning models and analytic systems using ML models and algorithms.

Requirements

Requirements:

• BS, MS or PhD in a STEM field

• Knowledge of basic deep learning techniques

• Knowledge of modern software design and software engineering practices in Python
• Knowledge of of computer science fundamentals including data structures and algorithms

• Experience in data-driven problem-solving and the deployment of machine learning models
• Experience with cloud-computing tools, architectures and approaches
• Experience in working in a team and communicating to other data scientists and engineers

Pluses:

• Experience in PyTorch and Tensorflow
• Experience in deploying ML-models at scale

• Experience in data filtering and augmentation

• Experience in data analysis tools and frameworks (pandas, numpy, matplotlib, etc.)

• Experience in data visualization, data introspection and dashboard design

• Experience with AWS technologies like S3, EC2, and Kinesis
• Experience in distributed computing

• Experience in causal inference

Benefits

• Competitive salary, performance bonus and stock options based on qualifications
• Full health care coverage (health, vision, dental, life)
• Commuters Benefit
• 401K plan