Staff Machine Learning Engineer

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.