{"id":657411,"url":"https://alion.io/job/plaud-machine-learning-engineer-speech-llm-training-san-francisco","title":"Machine Learning Engineer, Speech LLM Training - San Francisco","company":{"id":48171,"name":"Plaud","domain":"plaud.ai","url":"https://alion.io/company/plaud","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":17,"ghost_share":0,"stale_share":0.353,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":203000,"max_usd":444000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DeepSpeed","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Edge AI","optional":false},{"name":"FSDP","optional":false},{"name":"GDPR","optional":false},{"name":"GRPO","optional":false},{"name":"HIPAA","optional":false},{"name":"ISO 27001","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"SGLang","optional":false},{"name":"SOC 2","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-05-08T06:57:44Z","employer_posted_date":"2026-05-08","last_verified_at":"2026-10-19T05:06:24Z","board_verified":true,"closed_at":null,"days_open":163,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":163},"description":"About Plaud Inc.\nPlaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations - so humans can think better, decide faster, and execute with clarity.\nPlaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human-AI intelligence through a hardware-software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection.\nTo learn more about Plaud, please visithttps://www.Plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube\nWhy You Should Join Us\nPlaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.\nPlaud is a bootstrapped, skyrocketing, profitable company with a $300M revenue run rate achieved in just three years.\n\nDefine the next-gen paradigm for human-AI interaction.\n\nGain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.\n\nWork with passionate teammates who value innovation, collaboration, and customer success.\n\nGrow your career in a culture that champions continuous learning and fast career development.\n\nMarket-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.\n\nYou may be a good fit if you:\nHave a proven track record of building and training large-scale audio or speech models from the ground up, whether that involves unified SpeechLLMs, advanced ASR, expressive TTS, or generative audio architectures.\n\nLove living at the intersection of research and engineering, eager to design novel sequence modeling architectures one day and debug distributed training clusters the next.\n\nAre highly comfortable traversing the entire stack-from fundamental signal processing and raw acoustic representations to massive foundation model training and edge-device optimization.\n\nPossess deep expertise in PyTorch or JAX, with battle scars from optimizing large-scale distributed training runs, managing GPU memory utilization, and resolving complex performance bottlenecks.\n\nThrive in a fast-paced, high-growth startup environment where you are expected to take extreme ownership of ambiguous problems and drive them directly into production.\n\nAre obsessed with building AI systems that natively understand and generate speech, ultimately creating a hardware-software AI companion that amplifies human productivity.\n\nStrong candidates may also have experience with:\nText-based LLMs: Hands-on experience with core text-based Large Language Model pretraining, instruction tuning, or RLHF.\n\nNeural Audio Codecs: Hands-on experience designing and training state-of-the-art neural audio codecs for streamable, high-fidelity audio.\n\nGenerative Architectures: Designing and training diffusion models, flow matching, or autoregressive architectures specifically for speech and voice generation.\n\nAlignment & Steerability: Applying Reinforcement Learning (RL) techniques (like RLHF or GRPO) to improve conversational cadence, steerability, and alignment in foundation models.\n\nDeep System Optimization: End-to-end inference and performance optimization, leveraging high-throughput serving frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to minimize latency for real-time cloud streaming.\n\nLarge-Scale Infrastructure: Managing massive GPU clusters, utilizing advanced distributed training frameworks (e.g., FSDP, DeepSpeed), and navigating orchestration tools like Kubernetes.\n\nWhat We Offer\nFounding Team Initiative: Opportunity to be an early, foundational member of our core SpeechLLM lab, with meaningful ownership and impact on a fast-growing startup.\n\nCompetitive Compensation: $195K - $365K base salary + performance bonus + Equity.\n\nComprehensive Benefits: Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy.\n\nRetirement Planning: 401(k) plan for full-time employees with company matching.\n\nPaid Time Off: Unlimited PTO, plus 13 paid holidays.\n\nNew Parent Leave: 12 weeks of paid time off to spend time with your new family, regardless of gender.\n\nHybrid Office: Minimum of 3x in-office per week to foster highly collaborative, fast-paced research.\n\nGear & Perks: Choice of top-of-the-line laptops/workstations, annual offsites, and a fully stocked office.\n\nPlaud is and will continue to be an equal opportunity employer. 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