Staff Machine Learning Engineer

• Lead the ML function end-to-end: from model research and architecture to experimentation, deployment, and scale.
• Build next-gen conversion models that fuse CRM, engagement, and structured & unstructured behavioral data to drive smarter conversion semantics. Drive high speed and efficient feedback loop with Ad Networks
• Fine-tune and specialize LLMs to power our AI Sales Agents that optimizes business outcome - reasoning, persona alignment and conversion alignment over longer time horizon with seamless CRM integration
• Collaborate cross-functionally with product, data, and engineering teams to bring bleeding-edge ML ideas to production.
• Mentor and grow a small, world-class team of ML and data engineers., * Predictive Modeling at Scale: Build and deploy advanced sequence models and transformer-driven architectures for lead scoring, conversion prediction, and conversion value forecasting - models that actually move the ROAS needle.
• Model Tuning & Optimization: Own the full lifecycle - from training and hyper parameter tuning to real-time performance monitoring and continuous RoAS improvement across ad platforms.
• Opportunity Intelligence: Develop Opportunity Score Models that identify cross-sell and upsell potential, driving long-term customer value (LTV) through smarter activation.
• Foundation Model Customization: Fine-tune and extend LLMs with RAG pipelines, optimizing for sales conversion goals and CRM-integrated conversational intelligence.
• ML Infrastructure & Automation: Design robust systems for continuous training, monitoring, and rapid experimentation across multimodal datasets (text, voice, and behavioral signals).
• Frontier Research & Innovation: Push the limits of representation learning, transformer-based sequence modeling, multimodal embeddings, and sales conversation understanding - bringing the latest breakthroughs straight into production.

Machine Learning, Artificial Intelligence (AI), Marketing, Machine Learning, Customer Relationship Management (CRM), Unstructured Data, Sales, Process Improvement, CRM Integration, Artificial Intelligence (AI) Agents, We’re looking for a hands-on technical leader who loves building ML systems that drive real business impact. You should be equally comfortable designing models, leading experiments, and shipping production code. Core Qualifications

• 8+ years of experience in Machine Learning, Applied AI, or related fields.
• Proven track record leading small ML teams or pods in fast-moving, product-driven environments.
• Strong hands-on expertise in Python and modern deep learning frameworks like PyTorch or TensorFlow.
• Experience designing and deploying production-grade models for prediction, ranking, recommendation, or personalization.
• Deep understanding of LLM fine-tuning techniques - including SFT, LoRA, and PEFT - and best practices in prompt engineering.
• Solid grasp of data-centric AI workflows, feature engineering, and CRM / engagement data modeling.
• Comfortable operating across the full spectrum - from rapid research prototypes to high-scale production systems.

Bonus Points For

• Experience with transformer-based sequence models or multimodal architectures.
• Familiarity with ad tech, marketing optimization, or conversion modeling.
• Background in MLOps, experimentation platforms, or continuous training pipelines.
• Background in Ad-tech, Sales-tech, Mar-tech, or CRM data ecosystems.

• Competitive Compensation
• Startup Equity
• Health, Dental and Vision Insurance
• Career Growth Opportunities