Member of Technical Staff – Post-Training

🔥 12 hours ago

🌐 United States, Canada, +1 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇬🇧 United Kingdom – Remote

💵 $200k - $350k / year

⏰ Full Time

🔴 Lead

🖥 Software Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Handshake

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Handshake is a platform that connects students with potential employers and career centers, offering tools to streamline the recruiting process for its users. It provides features such as job postings, talent engagement suites, and event management for both virtual and in-person recruiting events. Handshake is widely used by Fortune 100 companies and offers integrations with existing automated tracking systems. It aims to build early career networks and supports a diverse range of Gen Z talent with a focus on improving hiring outcomes through proprietary data and advanced recruiting strategies.

📋 Description

• Design post-training systems and methodologies for frontier models, including supervised fine-tuning, reinforcement learning, preference optimization, reward modeling, and related approaches • Translate open-ended research or partner needs into hypotheses, experiments, evaluation plans, and production-quality implementations • Build and improve evaluation frameworks, benchmarks, training environments, data-processing pipelines, and quality-control systems • Run rapid iteration loops: prototype, evaluate, interpret results, and turn learnings into the next system or product • Partner with AI researchers and domain experts to develop high-signal data, feedback, and evaluation methods • Identify repeatable patterns across engagements and productize them into reusable software and platforms • Raise the technical bar through design judgment, communication, code quality, and mentorship • Contribute through benchmarks, open-source tools, research, and technical writing where it creates leverage • Help define Handshake Labs' technical direction, operating culture, and reusable systems

🎯 Requirements

• 3+ years of demonstrated strength in post-training, fine-tuning, or model-evaluation work • Relevant experience may include RL, SFT, LoRA/PEFT, full fine-tuning, RLHF, DPO, PPO, reward modeling, or training environments • Strong Python skills and ability to write clean, efficient, scalable software • Hands-on experience with modern ML tooling, particularly PyTorch and large-scale data, training, or evaluation workflows • Sound experimental judgment, including forming hypotheses, choosing meaningful metrics, diagnosing failures, and distinguishing signal from noise • Experience designing systems and making tradeoffs around quality, scale, reliability, and reuse • Comfort operating in an ambiguous, fast-moving environment with substantial ownership • Collaborative communication and ability to work with researchers, engineers, domain experts, and customers • Especially compelling: large-scale ML training, inference, data, or evaluation systems • Especially compelling: LLM/agent benchmarks, evaluation methodologies, annotation systems, or data-quality frameworks • Especially compelling: reinforcement learning, alignment, model behavior, synthetic data, or human-in-the-loop systems • Especially compelling: published research, meaningful open-source contributions, or technical leadership in ML systems or AI research • Especially compelling: productizing research or repeated customer work into robust, reusable platforms

🏖️ Benefits

• Equity in a fast-growing company • 401(k) match • Competitive compensation • Financial coaching • Paid parental leave • Fertility benefits • Parental coaching • Medical, dental, and vision insurance • Mental health support • $500 wellness stipend • $2,000 learning stipend • Ongoing development • Commuting support • Free lunch • Gym in the San Francisco office • Flexible PTO • 15 holidays + 2 flex days • Team outings • Referral bonuses