Staff Machine Learning Engineer

Scowtt-Com | Advertising technology

46m ago

Remote In-Country

Full Time

United States of America

Staff Machine Learning Engineer

Are you excited to build what’s next in AI-driven growth?

We’re on a mission to reinvent how brands maximize ROAS and conversions across major ad networks - Google, Meta, TikTok, Snap, and beyond. If you live at the intersection of machine learning, performance marketing, and real-world impact, this is your playground. Are you interested in living on edge? This is your calling.

What You’ll Own

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.

Why Does This Role Rocks?

You’ll be building core IP - models that directly drive hundreds of millions in ad spend for our customers. We move fast, ship often, and love people who obsess over signal, scale, and impact. If you’ve ever dreamed of owning ML systems that directly move ROI curves, this is it.

What You’ll Work On

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.

What We’re Looking For

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.

Eligibility:

Must be located in the United States.
This position is remote for now, but candidates must be in Pacific Time zone.
Unfortunately we are not able to sponsor work visa for now

Benefits:

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

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.

Required Skills

pythonpytorchtensorflow

Required Languages

🇬🇧 English

Staff Machine Learning Engineer

Scowtt-Com | Advertising technology

46m ago

Remote In-Country

Full Time

United States of America

Staff Machine Learning Engineer

Are you excited to build what’s next in AI-driven growth?

What You’ll Own

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.

Why Does This Role Rocks?

What You’ll Work On

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.

What We’re Looking For

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.

Eligibility:

Must be located in the United States.
This position is remote for now, but candidates must be in Pacific Time zone.
Unfortunately we are not able to sponsor work visa for now

Benefits:

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

Equal Opportunity & E-Verify Employer

Required Skills

pythonpytorchtensorflow

Required Languages

🇬🇧 English