Machine Learning Scientist Jobs

: Machine Learning Scientist

Type: Full-time

Location: Remote

Pay: 150k-200k

Our client is a pioneering startup dedicated to harnessing the power of autonomy to address critical challenges in various industries. As a Machine Learning Scientist, you will be at the forefront of innovation, developing cutting-edge machine learning systems that leverage uncertainty estimation and active learning approaches, such as Reinforcement Learning, to solve real-world problems faced by our customers. Your expertise will contribute to transforming sales and supply chains into autonomous, self-learning systems, driving efficiencies and enhancing consumer experiences.

Responsibilities:

1. Develop and implement machine learning systems using uncertainty estimation and active learning approaches to tackle complex challenges for our customers.
2. Collaborate with cross-functional teams to design and deploy ML models throughout the entire development cycle, from initial R&D to production implementation.
3. Utilize Python and SQL to work with data and create scalable and clean code that adheres to good engineering practices.
4. Share your passion for AI and machine learning by communicating technical concepts effectively, both within the team and with business stakeholders.
5. Push the boundaries of what is scientifically and technically possible, driving the advancement of ML capabilities and contributing to the scientific community through publications and open-source projects.

Basic Qualifications:

1. A deep passion for AI and a strong interest in building machine learning systems.
2. Proficiency in working with data using Python and SQL.
3. Familiarity with the entire ML stack, from initial research and development to model deployment in production environments.
4. A commitment to good engineering practices, clean code, and scalability.
5. Effective communication skills to convey technical concepts to both technical and non-technical audiences.

Nice-to-Haves:

1. Experience with active learning, reinforcement learning, causal inference, and/or online learning approaches.
2. Expertise in serverless or highly distributed ML model training on large datasets.
3. Knowledge of experimental design and Bayesian uncertainty estimation.
4. Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

As a Machine Learning Scientist at our client, you will have the opportunity to make significant contributions to the field of AI and autonomy. Join us in our mission to drive transformative change, deliver critical goods and services more efficiently, and create a sustainable and equitable future. If you are passionate about AI and eager to work on groundbreaking projects, we invite you to apply and be part of our dynamic and innovative team.