Staff Machine Learning Engineer

About the role

We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML systems that power our Marketing AI and AI Sales Agents.

Responsibilities

• End-to-end ownership of ML systems, from research and modeling to deployment and scale
• Design and evolve next-generation conversion and value prediction models using behavioral, CRM, and engagement data
• Fine-tune and specialize LLMs (e.g., SFT, LoRA, PEFT) to power AI Sales Agents focused on reasoning, persona alignment, and long-term conversion outcomes
• Drive high-speed feedback loops between ML systems and ad platforms
• Design systems for continuous training, monitoring, and rapid experimentation
• Solve systemic ML problems around data quality, drift, reliability, and velocity
• Mentor senior ML engineers and raise the organization’s ML bar
• Follow and enforce security best practices, including secure coding, proper handling of sensitive data, authentication/authorization controls, and compliance with company security policies.

Qualifications

• Must Have:
• Bachelor’s degree in Computer Science, ML, Data Science, or equivalent
• 6-10 years of experience in applied machine learning and production ML systems
• 6-10 years of experience in deploying and operating ML models at scale
• 6-10 years of experience and strong hands-on skills with Python and modern ML frameworks (PyTorch, TensorFlow)
• Should Have:
• Experience designing models for prediction, ranking, recommendation, or personalization
• Strong understanding of LLM fine-tuning techniques and production usage
• Ability to operate across research, experimentation, and high-scale production systems
• Proven ability to influence technical direction through architecture and execution
• Nice to Have:
• Experience with transformer-based sequence models or multimodal architectures
• Familiarity with ad-tech, mar-tech, sales-tech, or CRM ecosystems
• Experience building ML platforms, experimentation systems, or MLOps tooling
• Experience leading multi-quarter ML initiatives

Pay and Benefits

Pay range and compensation package: Based on the level hired at and location, the cash compensation for this role ranges between $190,000 to $250,000. Selected candidate/s will be eligible for standard benefits and attractive startup equity.