Benjamin Reavill

Machine Learning Engineer, SpeechLLM Evaluations $250,000 - $350,000 + bonus + equity San Francisco, CA. Hybrid (3 days onsite)Full-time / PermanentDeepRec has partnered with a high-growth AI company building speech intelligence products used by more than 1.5 million people worldwide. This is a chance to define how their foundational Speech LLMs are measured, improved, and trusted. If you've ever felt model evaluation deserves the same attention as model training, you'll have the space to prove it here.The OpportunityYou'll join an early Speech LLM team where your work shapes research decisions, product quality, and model releases. You'll own the systems that answer one of the hardest questions in AI: how do you measure something as human as conversation, expression, and understanding?What You'll Do- Build evaluation frameworks for speech and conversational AI models- Define benchmarks for transcription, audio quality, and dialogue performance- Create automated evaluation pipelines for training checkpoints- Own dashboards that surface model health and regressions- Partner with researchers to translate capabilities into measurable outcomes- Investigate unexpected performance changes during model training- Improve evaluation speed, quality, and reliability across the research lifecycleWhat You'll BringEssential- Strong Python engineering experience in production environments- Experience building ML evaluation, data, or experimentation systems- Deep understanding of statistics, benchmarking, and model performance analysis- Ability to explain technical findings to varied audiencesDesirable- Experience with speech metrics such as WER, CER, PESQ, or MOS- Familiarity with LLM-as-a-Judge evaluation methods- Experience with ML observability tools such as Weights & Biases or MLflow*We encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.*What's In It For You- Foundational role within a growing Speech LLM research team- Ownership of evaluation strategy and technical direction- Work on problems spanning ML, statistics, software, and research- Comprehensive healthcare, 401(k) matching, parental leave, and unlimited PTO- Conference, learning, and career development support- Direct influence on products used by a global customer base

Multimodal LLM Researcher$300,000 - $400,000 Remote, Palo AltoFull-time / PermanentDeepRec has partnered with a high-growth generative AI company (Series B, $130M+ raised). They're building multimodal, multi-agent systems that combine language, vision, audio, and video. If you've been looking for a role where your research reaches production and shapes how millions interact with creative AI, this is worth a closer look.You'll help define the next generation of multimodal AI systems. Your work will span research, experimentation, and deployment, with a focus on real-time performance, multimodal reasoning, and agent-based workflows. You'll have the freedom to explore ambitious ideas while working alongside engineers who can bring them into production.What You'll Do- Lead research across LLMs, VLMs, and Audio Language Models- Design novel multimodal model architectures and training approaches- Improve real-time inference across text, image, audio, and video- Train and fine-tune autoregressive and diffusion models- Build and curate high-quality multimodal datasets- Collaborate with engineering teams to deploy research outcomes- Publish findings at leading AI conferences and journalsWhat You'll BringEssential- Strong research track record in multimodal AI or foundation models- First-author publications at recognised ML, vision, or audio conferences- Deep expertise in LLMs, VLMs, Audio LMs, or related fields- Strong Python and deep learning experience using modern frameworksDesirable- Experience with diffusion models or world models- Background in real-time AI systems and model serving- Experience building large-scale multimodal datasetsWe encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.What's In It For You- USD 300,000–400,000 salary- Fully remote working arrangement- Ownership of research that shapes production systems- Opportunity to publish and contribute to the field- Direct collaboration with product and engineering leadershipThis role offers the chance to work on multimodal AI problems that sit at the intersection of research and real-world deployment. If you're excited by advancing the field while seeing your work reach users, we'd love to hear from you.