Associate Algorithm Researcher Job at The New York Times (New York)

AI Research Lab Research Associate

We are currently seeking highly qualified interns to accelerate research towards...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience in deep learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Strong programming skills and experience with Python, C/C++, and preferably Java
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
Experience in Transformer Neural Network architectures for Generative AI and natural language processing
Experience with Agentic AI and Generative AI workflows - desired

Job Responsibility

Conduct research and come up with solutions with a fast turnaround time
Build the software and applications for Neural Networks and Machine Learning
Work with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment
Provide thought leadership and technical influence both internally and externally to HPE
Collaborate with HPE Labs research teams as well as external partners
Work in alignment with HPE's broader innovation community.

What we offer

Health & Wellbeing benefits including physical, financial and emotional wellbeing support
Personal and professional development programs
Unconditional inclusion and flexibility to manage work and personal needs.

Fulltime

Research Associate

The role involves accelerating research towards new applications, core methodolo...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing a PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. electrical engineering, computer science, machine learning, applied physics, mathematics, statistics, etc.)
Track record of world-class innovative contributions and ideas in AI/ML and/or related areas
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience with in-memory computing accelerators
Experience with micro architecture design for custom accelerators
Experience in deep learning research, algorithms, and data structures
Experience in design and test of custom integrated circuit IP for AI/ML applications
Experience with emerging analog memory devices for computing applications such as memristor, ReRAM, PCM, and others
Experience in system software, GPU acceleration, DL model execution and performance optimization
Self-motivated, proactive, with leadership qualities

Job Responsibility

Investigation of high-performance accelerators which combine CMOS and emerging ReRAM device technologies (or memristors) for computing applications including machine learning, neuromorphic computing, network security, finite automata, and other novel computational models
Design of prototype systems and/or integrated circuits
Invention of new architectures, circuits, and/or devices to take advantage of physical hardware systems for acceleration of target computations
Operation of existing hardware platforms
Performance evaluations with competing systems
Provide thought leadership and technical influence both internally and externally to HPE
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Collaborate with HPE Labs research teams as well as with external partners
Work in alignment with HPE's broader innovation community

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Programs catered to helping employees reach career goals
Unconditional inclusion in work environment

Fulltime

Machine Learning Research Associate

The Machine Learning research team at Hewlett Packard Labs seeks highly motivate...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience in deep learning, LLM, Agentic AI, and reinforcement learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Experience in Machine Learning frameworks like PyTorch - required
Strong programming skills and experience with Python
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Demonstrated effective communication and collaboration skills
Demonstrated ability for original research papers published in top-tier conferences or journals.

Job Responsibility

Provide thought leadership and technical influence both internally and externally to HPE
Work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Publish in top AI conferences and workshops, including NeurIPS, AAAI, and ICML.

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime