Job description

About Scowtt 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. About the Role 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 . This is a hands-on technical leadership role owning ML end-to-end - from model architecture and experimentation to production, scale, and long-term system health. You will build core IP : models that directly influence conversion rates, ROAS, and customer value across major ad networks. What You’ll Do 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 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 What Success Looks Like 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. Equal Opportunity & E-Verify Employer Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.

Requirements

Must-haves

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 .
What You’ll Do
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.
Bachelor’s degree in Computer Science, ML, Data Science, or equivalent
10+ years of experience in software product development

Nice-to-haves

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
What Success Looks Like
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
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.
Equal Opportunity & E-Verify Employer
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningdesign systemspythonllm

Platform: greenhouse
Effort: quick