Phd computer science jobs in New York, New York - Page 2Crear alertas

MSc or PhD in computer science or machine learning, or equivalent industry experience.

A PhD in physics, computational materials science, or computer science, earned by January 1, 2026 or by start date. The Simoncelli group in the Department of Applied Physics and Applied Mathematics at Columbia University invites applications for a Postdoctoral Research Scientist in theoretical-compu

We are looking for PhD students who excel in working independently given a problem, can find relevant work quickly and develops hypothesis and research questions with strong empirical skills to solve the problem. Currently enrolled in a PhD program in Computer Science, Mathematics, Statistics, Physi

PhD) in Computer Science, Engineering, Math, or a related field are preferred. Certifications in analytics or data science (e. The Director, Data Science is tasked with designing, developing, and delivering advanced ML/AI-based products and analytic solutions integrated into the Publicis CoreAI work

For Graduate level teaching: PhD in Computer Science or a related field. The Department of Computer Science at New York University seeks highly motivated individuals to teach graduate and undergraduate level courses on a part-time basis. Courses could include introductory undergraduate courses; adva

PhD in agronomy, biological engineering, soil science, computer science, mathematics, physics, engineering, or a related field.

Obra Capital is seeking a Quantitative Research Analyst to join our growing Leveraged Finance team. Research, Analyst, and Information Technology. What: Masters or PhD degree in financial mathematics, computer science, engineering, operations research, mathematics, physics or other quantitative disc

Advanced degree (PhD or Masters) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering. Quantitative Researcher - Full-Time Campus Hire. Quantitative Researcher Options Trading.

PhD Degree in Computer Science/Electrical Engineering or equivalent years of experience. ML inference or linear algebra computations. In this hybrid role, you will report to a Software Engineering Manager.

Strong quantitative background (PhD or Masters in Applied Math, Operations Research, Computer Science, or related field).

PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field.

PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging. As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. Principal D

MSc or PhD/DPhil degree in computer science or a related field.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field.