Staff ML Engineer, GenAI, Voice & Speech

Job not on LinkedIn

🕒 August 6

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weave

WebsiteLinkedInAll Job Openings

1 - 10 employees

🧬 Biotechnology

🤖 Artificial Intelligence

🏥 Healthcare

Biotechnology • Artificial Intelligence • Healthcare

Weave is building a generative AI platform and knowledge graph that will revolutionize how life science companies collaborate.

📋 Description

• Design and develop machine learning infrastructure, tooling, and models for product teams • Help teams understand the machine learning data lifecycle and experimental process • Build internal products and platforms enabling AI features in customer-facing products • Consult teams on machine learning patterns, anti-patterns, tradeoffs, and end-to-end customer experiences • Build scalable, resilient services for data integration, event processing, and platform extensions • Evolve product functionality serving large volumes of data and traffic • Write high-quality, performant, sustainable, and testable code • Coach and collaborate with stakeholders inside and outside the team • Design functionality across distributed cloud components and services • Translate product goals into actionable engineering plans

🎯 Requirements

• 15+ years of experience in Machine Learning or AI, focused on or with expertise in audio and voice GenAI solutions at scale • Deep expertise with LLMs, RAG, prompt engineering, fine-tuning, high-scale audio/voice models, and LLM evaluations • Experience moving and storing terabytes of data or hundreds of millions to billions of records • Experience building and deploying production ML-driven B2B multi-tenant applications at scale • Experience with Python, Jupyter, workflow engines such as Dagster, MLFlow, and KubeFlow, DVC, Triton Server, LLMs, and Postgres • Experience with data labelling or annotation for audio or text use cases • Understanding of distributed systems and scalable, redundant, observable services • Expertise designing systems for distributed datasets and services • Experience deploying solutions on public clouds such as AWS or GCP • Experience providing stable libraries and SDKs for internal use • Demonstrated delivery of complex projects in enterprise-grade production environments • Demonstrated leadership or mentorship capacity • Experience with low-latency natural language models and pipelines at scale • Experience with real-time audio models and voice use cases, including transcription, ASR pipelines with interruption detection, audio alignment, and speech synthesis • Experience with Model Context Protocol (MCP) • Understanding of containers and orchestrators at scale; Kubernetes or GKE and the Operator Pattern are a plus • Experience with sensitive PHI/HIPAA and PII data • Experience with automation and container-based workflow engines • Experience with GitOps, IaC, and configuration-driven systems • Strong coding and system design proficiency • High integrity, collaboration, responsiveness, bias for action, self-direction, strategic thinking, and technical aptitude • Successful completion of a background check

🏖️ Benefits

• Fully remote opportunity in India • Opportunity to work on AI-powered applications and emerging technologies • Coaching and collaboration opportunities • Inclusive workplace and equal opportunity employer • Accommodation support for disabilities or special needs