About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career regardless of where they went to school or who they know. Today we power 25 million job seekers 1 million employers and 1600 educational institutions.

In 2025 we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations publish benchmarks and push the boundary of data. Weve grown from $0 to $1B run rate and pay $60M to over 30K individuals every month.

Why join Handshake now:

• Shape how every career evolves in the AI economy at global scale with impact your friends family and peers can see and feel

• Partner hand-in-hand with world-class AI labs Fortune 500 partners and the worlds top educational institutions

• Work together with engineers scientists operators and more from Palantir Meta Scale AI and former YC founders

• Build a massive fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs working on their most complex data at the largest scale.

About the Role

Were looking for a Senior Software Engineer to join our ML Infrastructure & Platform team. This team powers both Handshakes core career marketplace and Handshake AI by building the shared infrastructure behind our production ML and AI systems.

This is an infrastructure-heavy role for an engineer who enjoys building scalable platforms at the intersection of software engineering machine learning and generative AI. Youll help teams move quickly from prototype to production while building the reliable high-performance systems that power training evaluation and inference across Handshake.

What Youll Do

• Build and operate the shared infrastructure behind production ML and AI including data pipelines feature stores training and model serving.

• Develop and scale our LLM platform including provider integrations orchestration observability and controls for cost latency and reliability.

• Build evaluation infrastructure including LLM eval harnesses benchmarks and quality measurement pipelines.

• Support post-training workflows including fine-tuning reinforcement learning pipelines and supporting data infrastructure.

• Optimize inference infrastructure for open and fine-tuned models including GPU serving batching and autoscaling.

• Partner with AI Data Science and Product teams to productionize new models and establish best practices for ML infrastructure across Handshake.

• Improve the reliability scalability and developer experience of our ML platform.

Desired Capabilities

• 5 years of production software engineering experience using Python Go TypeScript or similar languages.

• Experience building and operating cloud infrastructure on AWS GCP or similar platforms.

• Strong experience with Kubernetes Docker Terraform CI/CD and operating production services.

• Hands-on experience building ML infrastructure including model serving training pipelines feature stores embeddings or ML observability.

• Experience with modern data platforms such as BigQuery Airflow Spark Beam/Dataflow or streaming pipelines.

• Practical experience building production systems with LLMs or generative AI including orchestration provider APIs observability and performance optimization.

• Strong systems design skills sound engineering judgment and the ability to thrive in ambiguous fast-moving environments.

Extra Credit

• Experience with Ray Anyscale KubeRay Ray Serve vLLM Triton PyTorch or GPU-backed inference and training.

• Experience designing LLM evaluation frameworks benchmarking systems or quality regression testing.

• Experience with Vertex AI Bigtable Redis or feature platform infrastructure.

• Experience with post-training techniques such as fine-tuning RLHF reinforcement learning or reward modeling.

• Experience building agentic systems MCP integrations tool use memory systems or voice AI applications.

Perks

Handshake delivers benefits that help you feel supportedand thrive at work and in life.

The below benefits are for full-time US employees.

Ownership: Equity in a fast-growing company

Financial Wellness: 401(k) match competitive compensation financial coaching

Family Support: Paid parental leave fertility benefits parental coaching

Wellbeing: Medical dental and vision mental health support $500 wellness stipend

Growth: $2000 learning stipend ongoing development

Remote & Office: Internet commuting and free lunch/gym in our SF office

Time Off: Flexible PTO 15 holidays 2 flex days

Connection: Team outings & referral bonuses

Explore our mission values and comprehensive US benefits at Experience:

Senior IC