Staff Data Scientist
Auxia, Palo Alto, CA, United States
Founding Recruiter @ Auxia | Building Agentic Products for Marketers | Hiring Exceptional Talent to Shape the Future of AI Marketing
Auxia is building the
Agentic Customer Journey Orchestration Platform , redefining how enterprises activate, engage, and retain their customers through intelligent, adaptive AI systems. Backed by
$ 23.5M in funding
from top-tier investors —
VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners
— we’re on a mission to make every enterprise truly intelligent.
Our founders,
Sandeep Menon (ex-VP Marketing, Google)
and
Ravi Desu (ex-Global Engineering Lead, WhatsApp Payments @ Meta) , are building Auxia with the same ambition and technical excellence that powered global platforms used by billions. Learn more about our vision here and here.
Today, Auxia powers
3B+ daily events ,
6,500 queries per second , and
250M+ decisions per day , helping global enterprises like
DOCOMO, Mercari, Atlassian and MUFG
unlock the full potential of their first‑party data.
Your Impact
As a Staff Data/ML Scientist, you’ll define and execute the machine learning and AI roadmap, developing high‑performance models and building agentic AI systems that drive real‑time decisions across the platform. You’ll work across disciplines like recommender systems, LLMs, causal inference, and reinforcement learning, bringing ideas from research to production and helping shape the intelligence behind every Auxia user interaction.
What You’ll Do
Design, implement, and refine ML models for personalization, ranking, and growth optimization
Build and deploy autonomous, AI‑driven agents capable of executing complex, multi‑step tasks
Lead research across recommender systems, transformers, RAG, and reinforcement learning
Develop and improve offline evaluation metrics and model validation techniques
Analyze large‑scale customer data to extract insights and inform product strategies
Collaborate with engineering, product, and business teams to translate research into impact
Communicate findings internally and to key customers, shaping both product and strategy
Stay current with the latest ML/AI research via literature reviews, conferences, and experimentation
What You Bring
Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields
7+ years of experience in training, deploying, and improving ML systems in production
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
Strong background in LLMs, RAG pipelines, and information retrieval systems
Hands‑on experience with recommender systems, feed ranking, and real‑time user modeling
Expertise in causal inference methods and experimental design
Experience working with large‑scale datasets in cloud environments (AWS, GCP, etc.)
Ownership mindset—comfortable navigating ambiguity, taking initiative, and contributing beyond your immediate scope
Why Auxia
Impact
Be at the forefront of Agentic AI, driving the evolution of enterprise personalization — from manual segmentation to self‑learning systems.
Influence
Work directly with Auxia’s founders and leadership team, alongside ex‑Google, Meta, and Lyft engineers. Your insights will shape both our roadmap and the future of enterprise AI.
Work Environment
100% Onsite, Palo Alto (5 days/week) – because innovation thrives in collaboration.
Fast‑moving, research‑driven environment where ideas turn into production within weeks.
A team that believes in freedom with accountability — great minds solving hard problems, together.
Diversity, Equity & Inclusion
At Auxia, we are committed to building a workplace that celebrates diversity, fosters inclusion, and ensures equal opportunity. We welcome applicants from all backgrounds, regardless of race, gender, religion, age, sexual orientation, or disability.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Seniority level: Mid‑Senior level | Employment type: Full‑time | Job function: Engineering & Information Technology | Industries: Software Development
Mountain View, CA $141,000.00-$202,000.00
#J-18808-Ljbffr
Auxia is building the
Agentic Customer Journey Orchestration Platform , redefining how enterprises activate, engage, and retain their customers through intelligent, adaptive AI systems. Backed by
$ 23.5M in funding
from top-tier investors —
VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners
— we’re on a mission to make every enterprise truly intelligent.
Our founders,
Sandeep Menon (ex-VP Marketing, Google)
and
Ravi Desu (ex-Global Engineering Lead, WhatsApp Payments @ Meta) , are building Auxia with the same ambition and technical excellence that powered global platforms used by billions. Learn more about our vision here and here.
Today, Auxia powers
3B+ daily events ,
6,500 queries per second , and
250M+ decisions per day , helping global enterprises like
DOCOMO, Mercari, Atlassian and MUFG
unlock the full potential of their first‑party data.
Your Impact
As a Staff Data/ML Scientist, you’ll define and execute the machine learning and AI roadmap, developing high‑performance models and building agentic AI systems that drive real‑time decisions across the platform. You’ll work across disciplines like recommender systems, LLMs, causal inference, and reinforcement learning, bringing ideas from research to production and helping shape the intelligence behind every Auxia user interaction.
What You’ll Do
Design, implement, and refine ML models for personalization, ranking, and growth optimization
Build and deploy autonomous, AI‑driven agents capable of executing complex, multi‑step tasks
Lead research across recommender systems, transformers, RAG, and reinforcement learning
Develop and improve offline evaluation metrics and model validation techniques
Analyze large‑scale customer data to extract insights and inform product strategies
Collaborate with engineering, product, and business teams to translate research into impact
Communicate findings internally and to key customers, shaping both product and strategy
Stay current with the latest ML/AI research via literature reviews, conferences, and experimentation
What You Bring
Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields
7+ years of experience in training, deploying, and improving ML systems in production
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
Strong background in LLMs, RAG pipelines, and information retrieval systems
Hands‑on experience with recommender systems, feed ranking, and real‑time user modeling
Expertise in causal inference methods and experimental design
Experience working with large‑scale datasets in cloud environments (AWS, GCP, etc.)
Ownership mindset—comfortable navigating ambiguity, taking initiative, and contributing beyond your immediate scope
Why Auxia
Impact
Be at the forefront of Agentic AI, driving the evolution of enterprise personalization — from manual segmentation to self‑learning systems.
Influence
Work directly with Auxia’s founders and leadership team, alongside ex‑Google, Meta, and Lyft engineers. Your insights will shape both our roadmap and the future of enterprise AI.
Work Environment
100% Onsite, Palo Alto (5 days/week) – because innovation thrives in collaboration.
Fast‑moving, research‑driven environment where ideas turn into production within weeks.
A team that believes in freedom with accountability — great minds solving hard problems, together.
Diversity, Equity & Inclusion
At Auxia, we are committed to building a workplace that celebrates diversity, fosters inclusion, and ensures equal opportunity. We welcome applicants from all backgrounds, regardless of race, gender, religion, age, sexual orientation, or disability.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Seniority level: Mid‑Senior level | Employment type: Full‑time | Job function: Engineering & Information Technology | Industries: Software Development
Mountain View, CA $141,000.00-$202,000.00
#J-18808-Ljbffr