Handshake

About the Company

Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake's network is where career advice and discovery turn into first, second, and third jobs.

Nearly 1 million companies use Handshake to build their future workforce--from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses.

Handshake is built for where you're going, not where you've been.

Listed Jobs

Company Name

Handshake

Job Title

Handshake AI Research Intern, Winter 2025

Job Description

San francisco, United states

On site

Fresher

07-09-2025

Company Name

Handshake

Job Title

AI Research Engineer, Handshake AI

Job Description

**Job Title:** AI Research Engineer **Role Summary** Design and implement post-training systems, develop infrastructure for large-scale model training and data processing, create advanced LLM benchmarks, and optimize performance across software and hardware layers. Focus on validating model improvements and ensuring benchmark reliability. **Expactations** Experience in building large-scale systems for model post-training, specialized data processing, or benchmark evaluation. Deep technical proficiency in AI/ML frameworks and systems. Collaborative mindset and clear communication for cross-functional research teams. **Key Responsibilities** - Design and implement post-training systems with research scientists. - Build/maintain infrastructure for model training, data processing, and benchmark evaluation. - Develop frameworks for domain-specific dataset quality and integrity verification. - Create LLM benchmarks to advance model evaluation and capability assessment. - Optimize performance across software/hardware layers to accelerate deployment. - Cross-validate model improvements and benchmark reliability. **Required Skills** - Strong Python programming (clean, scalable code). - Proficiency in PyTorch and post-training techniques (e.g., RLHF, constitutional AI). - Applied machine learning, model evaluation, and data quality assessment. - Benchmark design and performance measurement frameworks. - Collaborative communication for cross-disciplinary teams. **Required Education & Certifications** Bachelor’s degree in Computer Science, Engineering, or equivalent. Advanced degree preferred. No certifications required.

San francisco, United states

Hybrid

10-09-2025

Company Name

Handshake

Job Title

AI Research Scientist - Evaluation, Handshake AI

Job Description

**Job Title:** AI Research Scientist - Evaluation **Role Summary** Design and conduct research to advance evaluation methodologies for large language models (LLMs), focusing on model understanding, reasoning capabilities, and alignment with human knowledge. Develop scalable benchmarks and systems to assess AI model performance. **Expectations** Lead post-training research projects from theoretical design to empirical validation. Publish findings in top-tier conferences. Collaborate with engineers to implement evaluation frameworks. Establish standards for responsible AI assessment. **Key Responsibilities** - Design novel evaluation frameworks to analyze LLM capabilities and limitations. - Develop benchmarks and systemic assessment techniques for model understanding and alignment. - Partner with engineering teams to deploy scalable evaluation systems. - Conduct large-scale experiments and analyze model behavior through code implementation. - Contribute to advancing research on human-AI interaction and knowledge dynamics. **Required Skills** - Expertise in LLM research, evaluation methodologies, and interpretability techniques. - Advanced Python proficiency and deep experience with PyTorch for model analysis. - Demonstrated ability to design and execute experiments with large language models. - Strong record of scholarly publications in AI evaluation or related fields. - Clear communication of technical findings to cross-functional teams. **Required Education & Certifications** - PhD or equivalent in machine learning, computer science, or cognitive science with a focus on AI evaluation. - Proven research experience in model assessment, AI understanding, or foundational evaluation techniques.

New york, United states

Hybrid

10-09-2025