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, Summer 2026

Job Description

**Job Title** Handshake AI Research Intern, Summer 2026 **Role Summary** Conduct focused, production‑ready research on large language models (LLMs) with a primary goal of publishing a peer‑reviewed manuscript or conference paper. Work closely with senior scientists to develop post‑training techniques, evaluation benchmarks, and data‑efficiency methods that integrate directly into Handshake’s AI infrastructure. **Expectations** - Complete a self‑directed research project from hypothesis to prototype and manuscript. - Deliver results that can be shipped into the production stack and meet publication standards. - Engage actively in weekly team meetings, code reviews, and internal presentations. **Key Responsibilities** - Design, implement, and evaluate RLHF / GRPO pipelines for instruction‑following and reasoning enhancement. - Build or extend multilingual and domain‑specific benchmarks for LLM evaluation, including automatic preference studies and robustness diagnostics. - Develop active‑learning loops, data‑value estimation methods, synthetic data generation, or low‑resource fine‑tuning strategies to improve data efficiency. - Write reproducible code in PyTorch or JAX, leveraging distributed training frameworks such as DeepSpeed. - Prepare a research manuscript targeting top conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.) and manage the submission process. **Required Skills** - Current Ph.D. student in Computer Science, Machine Learning, NLP, or related field. - Strong background in large‑scale model training, experimentation, and evaluation. - Proficiency with Python, PyTorch or JAX, distributed training toolkits. - Empirical research mindset with rigorous statistical analysis. - Clear scientific communication skills; ability to present findings in written and oral form. **Required Education & Certifications** - Ph.D. (or ongoing Ph.D. enrollment) in CS, ML, NLP, or closely related discipline. - Publication record at top-tier AI/ML conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.) preferred. - No mandatory certifications required.

San francisco, United states

On site

Fresher

22-01-2026

Company Name

Handshake

Job Title

Software Engineer, Fellow Experience

Job Description

**Job Title:** Software Engineer, Fellow Experience **Role Summary:** Develop and scale full‑stack features that drive the mid‑funnel experience for fellows, including project discovery, application, matching, and onboarding. Collaborate with product, design, and senior engineers to deliver reliable, user‑focused solutions that improve match quality, conversion, and system reliability. **Expectations:** - Minimum 2 years of professional software engineering experience. - Ability to work across frontend and backend, delivering end‑to‑end features. - Strong product mindset with focus on user experience and business outcomes. - Effective communication and cross‑functional collaboration. - Demonstrated growth mindset and readiness to assume greater technical ownership. **Key Responsibilities:** - Design, build, and iterate full‑stack features for fellow matching, onboarding, and project readiness. - Implement and enhance automatic allocation logic and related workflows. - Develop backend APIs, asynchronous processes, and scalable frontend interfaces (Next.js, tRPC, GraphQL). - Partner with product managers and designers to ship polished, end‑to‑end user experiences. - Write high‑quality, maintainable code while balancing speed and correctness. - Debug, troubleshoot, and resolve issues in onboarding flows, matching outcomes, and system reliability. - Participate in code reviews and contribute to engineering standards and best practices. - Progress toward increased technical ownership through mentorship and learning. **Required Skills:** - TypeScript proficiency. - Experience with modern web stacks: Next.js, tRPC, GraphQL, PostgreSQL. - Full‑stack development experience (frontend & backend). - Familiarity with asynchronous workflows or background job systems. - Strong problem‑solving abilities and attention to detail. - Excellent written and verbal communication. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).

San francisco, United states

On site

Junior

05-02-2026

Company Name

Handshake

Job Title

Recruiting Coordinator (Contract)

Job Description

**Job Title:** Recruiting Coordinator (Contract) **Role Summary:** Contract Recruiting Coordinator responsible for managing interview logistics, maintaining recruiting data, and delivering a professional, candidate‑first experience. Acts as the primary point of contact for candidates and supports both routine and ad‑hoc coordination projects in a fast‑paced, high‑growth environment. **Expectations:** - Minimum 1 + year experience in scheduling or coordination, preferably in a high‑energy setting. - Demonstrated organizational excellence, attention to detail, and strong written communication. - Proactive, growth‑mindset attitude with the ability to act independently and handle confidential information with discretion. **Key Responsibilities:** - Schedule and coordinate candidate interviews efficiently across multiple stakeholders. - Maintain accurate, up‑to‑date information in recruiting tools and databases. - Communicate professionally and empathetically with candidates, representing the company’s brand. - Serve as a reliable, welcoming point of contact throughout the hiring process. - Assist with ad‑hoc and strategic coordination projects as assigned. **Required Skills:** - Calendar and interview scheduling expertise. - Exceptional time‑management and multitasking abilities. - Precise data entry and record‑keeping skills. - Strong written communication and interpersonal skills. - Sound judgment and comfort handling sensitive data. - Bias for action, humility, and willingness to learn. **Required Education & Certifications:** - Not specified; typically a high school diploma or equivalent; additional higher‑education credentials are optional.

San francisco, United states

On site

19-02-2026

Company Name

Handshake

Job Title

Senior Engineering Manager, Reinforcement Learning Environments (RLE)

Job Description

**Job Title:** Senior Engineering Manager, Reinforcement Learning Environments (RLE) **Role Summary** Lead a growing engineering team to design and deploy scalable reinforcement learning environments simulating real-world workflows for AI training. Drive technical strategy for platforms enabling task completion, robustness, and domain-specific tool integration across domains like software engineering, finance, and legal research. **Expectations** - 3+ years engineering management experience, managing senior engineers and engineering leaders. - Proven ability to align cross-functional teams (research, product, operations) in fast-paced, ambiguous environments. - Background in platform/system architecture and applied AI infrastructure. - Demonstrated expertise in building internal platforms, data pipelines, or research tools. **Key Responsibilities** - Manage and develop a team of 8–9 engineers, including mentorship and leadership development. - Define technical architecture for scalable, reliable RLE systems with seamless integration into training pipelines. - Partner with research teams to optimize data quality and environment reliability for AI training. - Establish engineering standards for observability, performance, and operational scalability. - Foster a culture prioritizing ownership, technical rigor, and velocity. **Required Skills** - Platform/distributed systems architecture. - Proficiency in cloud infrastructure (AWS/GCP) and modern web stacks (React, TypeScript, Node.js, Python). - Experience with reinforcement learning environments, simulation systems, or AI training infrastructure. - Cross-functional collaboration in operations-driven tech organizations. - Hands-on engineering experience with data pipelines, workflow tooling, or human-in-the-loop systems. **Required Education & Certifications** - Not specified. --- *Output excludes company details, location, benefits, and fluff. Focused on technical leadership, strategic platform development, and AI infrastructure for reinforcement learning environments.*

San francisco, United states

On site

Senior

18-02-2026