Back to jobs

Machine Learning Research Engineer

Acceler8 Talent
San Francisco Bay Area
Full-time
20,000,000 – 25,000,000 / year
AI tools:
TensorFlow
PyTorch
Applications go directly to the hiring team

Join a high-growth AI startup in the San Francisco Bay Area, where you'll work on developing an autonomous decision engine that revolutionizes digital marketing spend. You'll be part of a small, impactful team designing systems that automatically optimize real-time capital allocation, with proven efficiency improvements.

Full-time
4+ years

Skills & Expertise

Machine Learning
Optimisation Algorithms
Data Science
APIs
Integrations
Mathematics
Probability
Statistics

Key Responsibilities

Build ML models & optimisation algorithms to drive decision-making.

Develop real-time execution systems including APIs and automation.

Own the full lifecycle from research to production and monitoring.

Full Description

Machine Learning Research Engineer

Optimisation & Decision Systems

Join a high-growth AI startup reinventing how companies spend billions in digital marketing.

This team is building an autonomous decision engine that applies quant trading principles to ad spend, delivering measurable performance gains (20–50% efficiency improvements already proven).

💡 Why this role is exciting

You’ll be designing systems that directly control real-world capital allocation – in real time.

* Turning data into automated trading strategies

* Deploying models that move millions in spend

* Building systems that learn, adapt, and optimise continuously

🛠 What you’ll be doing

* Build ML models & optimisation algorithms to drive decision-making

* Develop real-time execution systems (APIs, integrations, automation)

* Own the full lifecycle: research → production → monitoring

* Design simulations & backtesting to validate performance

* Identify inefficiencies and turn them into scalable, revenue-driving strategies

👀 What they’re looking for

* 4+ years in machine learning / optimisation / data science

* Strong foundation in maths, probability, statistics

* Experience deploying models into production systems

* Someone pragmatic and fast-moving – able to ship and iterate quickly

* Bonus: exposure to quant finance, trading systems, or ad-tech

🌍 The environment

* Early-stage, high-impact team

* Backed by top-tier investors

* Building systems already used by global consumer brands

* Opportunity to shape the core intelligence layer of the company

💰 Package

* Highly competitive salary + meaningful equity

* Relocation support (if needed)

* Full benefits + flexible PTO

Applications go to the hiring team directly