Clarvos · 12 hours ago
Head of Machine Learning
United States
Full-time
Remote
Director/Executive
8+ years expClarvos is a company focused on AI Platform solutions, and they are seeking a Head of Machine Learning to lead the company's ML and GenAI strategy. This role involves defining the ML vision, building the ML organization, and delivering production-grade AI systems for MarTech and AdTech capabilities.
Computer Software
Responsibilities
Define and own the ML and GenAI roadmap, aligned with product, business, and platform strategy
Establish architectural standards for LLMs/SLMs, agentic systems, real-time inference, and feedback-driven learning loops
Drive the transition toward a fully AI-native, agent-powered platform
Architect and oversee scalable LLM/GenAI systems for MarTech/AdTech use cases, including:
Content generation and optimization
Sentiment and resonance analysis
Strategy recommendation and campaign optimization
Audience segmentation, targeting, and personalization
Design and deploy multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, MCP, or equivalent
Own end-to-end ML system design: data ingestion, feature pipelines, training, inference, evaluation, and monitoring
Lead decisions around foundation models, fine-tuning strategies, RAG pipelines, embeddings, and ranking systems
Establish best practices for LLMOps / MLOps, including:
Model evaluation, A/B testing, and continuous learning
Monitoring, drift detection, and reliability at scale
Safe and explainable AI practices
Oversee scalable training and inference infrastructure, including multi-GPU environments (A100/H100-class systems)
Ensure ML systems meet performance, cost, and latency requirements for real-time production use
Build, mentor, manage, and scale a high-performing ML organization across senior, principal, and junior talent
Set technical bar, review standards, and guardrails to ensure quality and sustainability in an AI-augmented development environment
Partner with Engineering leadership to balance velocity, code quality, and long-term maintainability
Work closely with Product, Data, and Platform teams to translate business needs into scalable ML capabilities
Communicate complex ML concepts clearly to executive leadership, stakeholders, and the Board
Contribute to technical narratives used for fundraising, company valuation, and strategic planning
Qualification
Required
8–12+ years of experience in ML/AI roles, including senior or principal-level ownership of production ML systems
3+ years of hands-on experience building with LLMs / SLMs in real-world applications
PhD degree in Computer Science, Engineering, or related field
Deep expertise in Deep Learning and NLP (PyTorch preferred; TensorFlow acceptable)
Proven experience fine-tuning and deploying foundation models (LLaMA, Mistral, GPT-style models)
Strong command of Hugging Face ecosystem and fine-tuning techniques (LoRA, PEFT, adapters)
Experience with vector search and retrieval systems (FAISS, PGVector, Pinecone, Redis Vector)
Familiarity with agent-based and reasoning frameworks (LangGraph, ReAct, AutoGen, CrewAI, MCP, etc.)
Experience with ML experimentation and observability tools (MLflow, Weights & Biases, PromptLayer, etc.)
Strong background in cloud-native ML systems (AWS, GCP, or Azure)
Solid understanding of distributed systems, GPU optimization, batching, and cost-aware inference
Excellent software engineering fundamentals (Python, APIs, microservices, Docker, Kubernetes)
Company
Clarvos
AI-Driven Results Our unique ability to help our clients uncover what truly matters today and what will matter tomorrow enables them to make informed decisions that yield the highest returns.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase