Distributed Model Training Engineer

Zizy Inc.; New York, Northern (NY, KY); Hybrid; USD 110,000 - 180,000; Full time

Benefits offered by this job

Mental health support

Generous time off

Parental leave

Learning stipend

Job summary

Zizy Inc. seeks a Software Engineer to build AI systems that push beyond current limits, designing, implementing, and optimizing state-of-the-art models and tooling.

Join the Research Acceleration team to boost research productivity, collaborate with cross-functional teams, and contribute to AI tooling while owning problems end-to-end. We value curiosity, independence, and a track record of delivering impact.

Qualifications

• 3+ years of relevant software engineering experience.
• Owning problems end-to-end, with a willingness to pick up whatever knowledge is missing to get the job done
• Some demonstrated interest in ML
• Bonus: contributions to an AI framework such as PyTorch or Tensorflow.

Responsibilities

• Build AI systems that can perform previously impossible tasks or achieve outstanding levels of performance.
• Design, implement, and optimize state-of-the-art AI models and tooling.
• Collaborate with other teams to accelerate research and tooling.

Skills

3+ years experience

End-to-end ownership

Interest in ML

PyTorch contribution

TensorFlow contribution

Tools

PyTorch

TensorFlow

Job description

Our mission at Zizy is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

About the Role

As a Software Engineer, you will help build AI systems that can perform previously impossible tasks or achieve outstanding levels of performance. This requires good engineering (for example designing, implementing, and optimizing state-of-the-

The Research Acceleration team builds high-quality research tools and frameworks to increase research productivity across Zizy, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-

Do you love research tools, training frameworks, and collaborating on cutting-edge AI models? If so, this role is for you! We are looking for people who are self-directed and enjoy determining the most meaningful problem to solve in order to accelerate our research.

We're looking for a track record of:

• 3+ years of relevant software engineering experience
• Owning problems end-to-end, with a willingness to pick up whatever knowledge is missing to get the job done
• Some demonstrated interest in ML
• Bonus: contributions to an AI framework such as PyTorch or Tensorflow.

Zizy is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
At Zizy, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Benefits and Perks

• Mental health and wellness support
• Generous time off policy
• Paid parental leave and family-planning support
• Annual learning & development stipend

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the NewYork Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via our careers email.