Senior Staff Machine Learning Engineer

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

Must Have

• Bachelor’s degree in Computer Science, ML, Data Science, or equivalent
• 10+ years of experience in software product development
• 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

• ML systems materially improve customer ROI and conversion outcomes
• Teams move faster because of your systems and decisions
• Technical architecture scales cleanly with product ambition
• You create durable ML leverage across the company

Pay range and compensation package

Based on the level hired at and location, the base salary for this role ranges between $220,000 to $280,000. Selected candidate/s will be eligible for standard benefits and attractive startup equity.

Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action-immediately. We’re growing fast, and onboarding new customers quickly and cleanly is core to our success.