efd94a1f-55b Research Scientist, Audio We're seeking a Research Scientist to join our team in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

In this role, you will make key contributions to the latest research developed in the Gemini audio pillar, including:

Unlocking new audio capabilities within the model, both in pre-training and post-training. Improving quality of models for understanding and generation, including research to improve our tokenizers, better techniques for generation quality, and looking at joint audio and visual representations. Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks.

To succeed in this role, you should have a PhD in Computer Science, Computer Vision, Speech Processing, or Machine Learning related field, experience working with LLMs, and audio or video understanding and/or generation experience. A proven track record of research and publications in areas such as audio generation, video generation, LLMs, and a real passion for AI are also advantages.

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]]> full-time senior onsite $147,000 - $211,000 + bonus + equity + benefits PhD in Computer Science, Computer Vision, Speech Processing, or Machine Learning related field, Experience working with LLMs, Audio or video understanding and/or generation experience, Proven track record of research and publications in areas such as audio generation, video generation, LLMs, Real passion for AI Engineering Technology Google DeepMind https://logos.yubhub.co/deepmind.com.png Google DeepMind is a subsidiary of Alphabet Inc., a multinational conglomerate. It focuses on developing and applying artificial intelligence. https://deepmind.com/ https://job-boards.greenhouse.io/deepmind/jobs/7572463 New York City, New York, US 2026-03-16 d0a30328-204 Lead AI Engineer Compensation\n\n$250K – $300K • Offers Equity\n\n## ABOUT SPHERE\n\nEvery breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest — and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other.\n\n## THE ROLE\n\nYou'll lead development of TRAM, our proprietary AI reasoning model that reads and interprets global trade law. This isn't a lookup problem, it's a reasoning problem — and it only became solvable with LLMs. You'll build the data pipelines that ingest legal sources, the model stack that produces structured evidence, the evaluation frameworks that measure accuracy, and the fine-tuning loops that improve performance. The unusual constraint: you need speed, scale, correctness, and robustness simultaneously — at millisecond latency, zero downtime, heading toward billions of transactions where a single error costs a customer $20K.\n\n## WHAT YOU'LL DO\n\n_Within weeks:_\n\n- Lead development of new features aimed at increasing TRAM’s test-time accuracy\n\n- Work on the underlying data and retrieval pipelines that help power our AI workflows\n\n- Work directly with our internal tax experts to understand how TRAM can better reason like them\n\n_Within months:_\n\n- Own TRAM’s eval framework and workflows\n\n- Work directly with leading frontier labs to reinforce fine tune models on our proprietary data\n\n## REQUIREMENTS\n\n- Prior experience building AI enabled products, particularly RAG systems\n\n- Experience fine tuning base models, ideally via RFT\n\n- Willingness to dive into tax technical problems - if you aren’t willing to dive deep on how the model should reason through the tax research process you won’t be effective\n\n- A strong understanding of how LLMs and reasoning models function\n\n## NICE TO HAVES\n\n- Experience working with LLMs on legal applications\n\n- Experience with RAG data pipelines and collecting/curating data for the pipeline\n\n## WHO YOU ARE\n\n_You'll thrive here if:_\n\n- You're a Dog. You've been underestimated, gone through struggle, and never stopped running. You have a chip on your shoulder and enormous drive. You look at Stripe, Deel, and Flexport all punting on compliance and think: _good, that means the opportunity is ours._ Hunger beats pedigree.\n\n- Early stage is in your bones. You've built things where there's no playbook and nobody handing you the answer. You define the problem instead of waiting for instructions.\n\n- You own it end to end. Give you a goal and you figure out your own path. Small team, global surface area — everyone owns a domain that would be a full team at a larger company. No one tells you how.\n\n- You believe speed and accuracy are both possible. We're building a complex product that requires robustness and 100% uptime, and we have to build at our customers' pace. Move fast. Don't break things. Both.\n\n- Being in the room is a feature, not a cost. Five days in SF isn't a policy, it's how the work gets done. The speed and density of collaboration we need doesn't survive over video.\n\n_This won't be a fit if:_\n\n- You need structure handed to you or ambiguity feels draining rather than motivating\n\n- You want to manage people more than own hard problems (we're a flat, experienced team — everyone builds)\n\n- You're used to "good enough" shipping (small errors have outsized impact here)\n\n- Being in the room five days a week feels like a cost instead of a benefit

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]]> Full time senior On-site $250K – $300K • Offers Equity AI, RAG systems, LLMs, Reasoning models, Data pipelines, rarity, Experience working with LLMs on legal applications, Experience with RAG data pipelines and collecting/curating data for the pipeline Engineering Technology Sphere https://logos.yubhub.co/sphere.com.png Sphere built a system that solves global trade compliance by ingesting trade law, interpreting it, and producing compliance determinations more reliable than human experts. https://jobs.ashbyhq.com https://jobs.ashbyhq.com/sphere/4e3c5943-bd07-4ce1-8e13-68b00221d0b7 San Francisco HQ 2026-03-08 dbcceacb-d90 Model Behavior Architect We're looking for a Model Behavior Architect to help build Perplexity's AI products and evaluations. You'll sit within our AI team and collaborate closely with research and product teams, designing prompt and context engineering strategies to deliver high quality user experiences across multiple domains and models.

What you'll do

  • Context Engineering: Design, test, and optimize context strategies and system prompts that shape answer engine behavior across products, features, and use cases.
  • Evaluation Systems: Build automated and semi-automated evaluation pipelines that measure model quality, catch regressions, and scale across product surfaces.
  • Model Launch Support: Partner with research and engineering to validate model behavior before and during rollouts, ensuring smooth transitions with no degradation.
  • Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects — for both internal and production-facing systems.
  • Cross-functional Collaboration: Work closely with design, product, and research teams to translate product goals into concrete model behavior requirements.
  • Knowledge Sharing: Help engineers across teams build intuition for prompt design, context engineering, and evaluation best practices.
  • Staying Current: Track the latest alignment, evaluation, and prompting techniques from industry and academia, and bring the best ideas back to the team.

What you need

  • Experience designing evaluations, benchmarks, or metrics for AI systems.
  • Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
  • Ability to manage multiple concurrent projects in a fast-moving environment.
  • Strong experience with Perplexity or other frontier AI models in production settings.
  • Demonstrated experience with Python — you'll prototype, debug, automate, and build systems at scale.
  • 3+ years of experience working with LLMs in a product or research setting.

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]]> full-time senior onsite $180K - $270K experience designing evaluations, benchmarks, or metrics for AI systems, strong written and verbal communication skills, ability to manage multiple concurrent projects, strong experience with Perplexity or other frontier AI models, demonstrated experience with Python, 3+ years of experience working with LLMs, experience with A/B testing or experimentation frameworks, track record of improving AI system performance through systematic evaluation and iteration Engineering Technology Perplexity https://logos.yubhub.co/perplexity.com.png Perplexity is a leading AI company that specializes in building and evaluating AI products and evaluations. They are known for their cutting-edge technology and innovative approach to AI development. https://jobs.ashbyhq.com https://jobs.ashbyhq.com/perplexity/9904db61-b8ca-4207-8f93-88ab6f0cd3fd San Francisco 2026-03-04 80c32163-2d2 AI Engineer - Player Intelligence and Growth, Data & Insights (D&I) We are hiring an AI Engineer to join the Player Intelligence & Growth team within Data and Insights (D&I), reporting to a Sr Manager. This team partners with all of EA's game studios to offer data science & AI products and solutions. For this AI Engineer role we are looking for applied and practical AI/ML expertise with a focus on Gen AI Solutions.

What you'll do

Work directly with game teams/partners (internal clients) to understand their offerings/domain and create AI products and solutions to solve for their use cases.

What you need

  • Graduate degree in Computer Science, Engineering, AI/ML, or a related quantitative field encouraged.
  • 4+ years of experience building AI, ML, or data-driven systems in production environments.

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]]> full-time mid hybrid $119,600 - $167,300 CAD AI/ML expertise, Gen AI Solutions, Python, SQL, cloud technologies, experience working with LLMs, embeddings, retrieval systems, AI agents Engineering Technology Electronic Arts https://logos.yubhub.co/jobs.ea.com.png Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. https://jobs.ea.com https://jobs.ea.com/en_US/careers/JobDetail/AI-Engineer-Player-Intelligence-and-Growth-Data-Insights-D-I/211264 Vancouver 2026-03-03