General Application- Remote, Worldwide
NethermindFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a fully remote position.
Candidates need a background in computer science, machine learning, applied mathematics, or a related field, along with demonstrated research experience in distributed ML, secure computation, federated learning, or incentive systems. They must also be able to write clear technical documentation and communicate complex ideas effectively.
This information is not specified in the job description.
Gradient fosters an innovative environment focused on building decentralized AI infrastructure, ideal for those who thrive in ambiguity, prototype quickly, and want to shape next-gen AI.
Send your CV to cv@gradient.network or contact @GradientHR on Telegram for recruitment inquiries.
Energy-efficient window ACs and heat pumps
Gradient Comfort creates energy-efficient window air conditioners that also function as heat pumps, providing both cooling and heating without obstructing views. Their products use R-32 refrigerant, which is more environmentally friendly than traditional options, making them appealing to eco-conscious consumers, especially in regions with strict emissions regulations like New York. Unlike competitors, Gradient Comfort sells directly to consumers through its website, fostering a closer relationship with customers. The company's goal is to lead in clean energy innovation and support decarbonization efforts in home climate control.