Staff ML Engineer, GenAI, Voice & Speech

Job not on LinkedIn

🔥 3 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 experiences • Help product and development teams understand the machine learning data lifecycle and experimentation • 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 amounts of data and traffic • Write high-quality, performant, sustainable, and testable code • Coach and collaborate with colleagues across and outside the team • Work with distributed components and services in cloud environments • Translate product goals into actionable engineering plans with stakeholders • Report to the Manager, Machine Learning

🎯 Requirements

• 15+ years of experience in Machine Learning or AI, focused on or specializing in audio and voice GenAI solutions at scale • Deep expertise in 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 scalable ML-driven B2B multi-tenant applications in production for external customers • Experience with Python, Jupyter, workflow engines such as Dagster, MLFlow, and KubeFlow, DVC, Triton Server, LLMs, and Postgres • Experience with multimodal models, data labeling or annotation for audio or text use cases • Understanding and expertise in distributed systems, scalable redundant observable services, and distributed data sets • Experience deploying solutions on public clouds such as AWS or GCP • Experience providing stable libraries and SDKs for internal use • Track record delivering complex projects on time in enterprise-grade production environments • Demonstrated leadership or mentorship capacity • Strong coding and system design proficiency • 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, orchestrators, and usage patterns at scale • Experience with Kubernetes or GKE and the Operator Pattern is a plus • Experience with PHI/HIPAA and PII data • Experience with automation and container-based workflow engines • Experience with GitOps, infrastructure as code, and configuration-driven systems • Background in data analysis, visualization, and presentation is a plus • Self-driven, strategic, execution-focused, and willing to learn in a quickly changing industry • Must successfully complete a background check

🏖️ Benefits

• Fully remote opportunity in India • Opportunity to work on AI-powered applications and emerging machine learning technologies • Cross-functional, highly autonomous agile team environment • Coaching and collaboration opportunities • Inclusive workplace and equal opportunity employment • Disability or special-needs accommodation • Background check conducted in accordance with applicable laws