Research Scientist

Zizy Inc.; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Mental health and wellness support

Generous time off policy

Paid parental leave and family-planing

Annual learning & development stipend

Job summary

Zizy Inc. in New York is seeking a Research Scientist to build AI systems capable of unprecedented performance. You will design, implement, and optimize large-scale distributed ML pipelines and write robust ML code that underpins core algorithms.

You will work across teams on ambitious projects, from language models and code generation to alignment and scaling, with safety and user impact central to the work. Collaboration and rigorous experimentation are essential.

Qualifications

• Solid engineering skills for designing, implementing, and improving distributed ML systems.
• Experience writing bug-free machine learning code.
• Interest in Zizy's approach to research and AI safety.

Responsibilities

• Algorithms: drive algorithmic and architectural advances toward AGI.
• Alignment: fine-tune large language models to user intent.
• Applied AI Research: develop solutions with long-term product impact and safety.
• Code Generation: advance AI programmers that write and debug code.
• Language: forecast scaling needs to optimize model performance at scale.
• Policy Research: assess risks and governance considerations for AI deployment.
• Scaling: build training software stack for large-scale datasets.
• Science of Deep Learning: study dynamics of training large models.

Skills

Strong programming skills

Experience in large distributedSystems

Excited about Zizy's approach to研究

Job description

As a Research Scientist here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about Zizy's approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

Below are some of our current teams and the work you may do on them.

• Algorithms: Conduct exploratory research and drive algorithmic and architectural advances on the critical path to AGI.
• Alignment: Fine-tune large language models to perform tasks in accordance with the user's intentions.
• Applied AI Research: Develop innovative solutions and open-ended research to solve real-world problems. Care about applications driven by user feedback and long-term research with significant impact on products, while keeping a high safety product standard.
• Code Generation: Research and develop AI programmers, the neural models that write, debug and improve computer programs. Creating AI which can solve hard symbolic reasoning problems is one of the most difficult problems in modern deep learning and you can attack it head-on. Seek new ways for increasingly powerful AI systems to interact with the world through a very general interface of computer code.
• Language: Develop Zizy advancements by exploring and forecasting future capabilities and resource needs. Seek a deep understanding of the scaling of our models across multiple orders of magnitude to optimize for best-case performance at the largest scale. Value impact over novelty.
• Policy Research: Measure the risks, benefits, and overall impact of our technology on the world with an eye towards informing our policies and those of other institutions. Develop novel ways of characterizing model properties, work with internal and external partners to measure our economic impact, and build novel mitigations that help us safely deploy models in an iterative fashion. Conduct far-sighted research on ideal governance and regulation of powerful AI systems.
• Scaling: Build the model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery. Scaling owns the engineering and research required to harness custom-built supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.
• Science of Deep Learning: Explore and understand the dynamics of training large models to guide both the training of current models and the trajectory of the next ones.

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.