Staff ML Engineer, GenAI, Voice & Speech
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Staff ML Engineer building scalable voice and speech GenAI infrastructure for Weave’s AI-powered products. Designing models, platforms, and distributed services for high-volume customer experiences.
Responsibilities:
- 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
Similar Jobs
Senior Machine Learning Software Engineer
Machine Learning Senior Software Engineer building model validation, optimization, and safety systems for Akamai’s distributed cloud platform. Developing secure inference pipelines, guardrails, and model evaluation frameworks.
Forward Deployed Machine Learning Engineer
Forward Deployed ML Engineer building benchmarks, model evaluations, and backend infrastructure for Protege’s secure AI training-data exchange platform. Partnering with researchers, customers, and DataLab to turn evaluation engagements into products.
Machine Learning Scientist 5 – Forecasting Aggregation
Machine Learning Scientist building Netflix’s ad-campaign forecasting models. Developing interpretable predictions for inventory, delivery risk, reach, and frequency at scale.
ML Software Engineer
ML Software Engineer building multimodal data pipelines, foundation models, and inference systems. Advancing reliable autonomous freight vehicles through physical AI and production-grade tooling.
Staff ML Engineer – Scene Generation
Staff ML Engineer leading neural rendering and generative modeling for Torc Robotics’ autonomous truck software. Building scalable Camera, LiDAR, and Radar simulation pipelines for AV training and validation.
VP of Research, Machine Learning
Leading research and production ML systems for A1’s proactive smart assistant. Defining reasoning, evaluation, safety, and orchestration for reliable everyday task completion.
Machine Learning Engineer, Speech – Joint Audio-Video Modeling
Research/ML Engineer specializing in audio generation and AI systems at Cantina. Leading development of advanced speech and audio models for joint audio-video applications.
Machine Learning Engineer
Machine Learning Engineer at Interval solving technical problems related to AI, privacy, and distributed systems. Collaborating to build models using enterprise data while maintaining privacy.
Machine Learning Engineer, Especialista II – Dados, Consumidor
Machine Learning Engineer responsible for developing ML solutions and pipelines at Grupo Boticário. Collaborating in a dynamic data ecosystem for beauty brands globally.
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing core AI systems for proactive smart assistant solutions. Collaborating with cross-functional teams to deliver impactful AI products at scale.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at A1 Engineering building AI-native systems. Owning critical ML subsystems, collaborating with teams, and ensuring production reliability.
Senior Machine Learning Engineer
Senior Machine Learning Engineer building and shipping machine learning systems for proactive AI products. Collaborating with research teams and mentoring other engineers.
Senior Machine Learning Engineer
Senior Machine Learning Engineer building and shipping ML systems that are reliable in production. Collaborating with cross-functional teams and mentoring ML engineers to enhance performance.
Member of Technical Staff, Machine Learning
Join A1 Engineering as a Member of Technical Staff, Machine Learning. Build ML components and improve production systems with real-world applications.
Member of Technical Staff, Machine Learning
Member of Technical Staff working on ML components for a smart assistant. Building reliable ML systems and collaborating with senior engineers and product teams.
Staff Machine Learning Engineer
Staff Machine Learning Engineer designing and building backend generative AI solutions at Xero. Collaborating with a remote team to address complex R&D challenges and elevate technical capabilities.
Working Student in Machine Learning – Sustainability Focus
Working student in Machine Learning focusing on sustainability at pacemaker.ai. Supporting development of AI systems and Python data pipelines for carbon footprint calculations.
MLOps Engineer
MLOps Platform Engineer for IRIUM creating a Generative AI platform. Requires 5+ years in MLOps, DevOps, and Azure expertise.
Senior Software Engineer – Machine Learning
Senior Software Engineer developing machine learning systems for product recommendation at Home Depot. Designing architectures that integrate AI into the digital product discovery process.
Senior Machine Learning Engineer
Senior Machine Learning Engineer designing and deploying machine learning solutions for Edelman. Collaborating with cross-functional teams to deliver impactful AI products in a remote-first environment.