Senior/Staff Applied Machine Learning Scientist

Hidden Jobs; United States; Remote; USD 138,000 - 189,000; Full time

Benefits offered by this job

Health benefits

Pension plan

Birthday off

Mental health support

WFH reimbursements

WeWork option

Parental leave

Learning budgets

Job summary

StackAdapt seeks a Senior/Staff Applied Machine Learning Scientist to own end-to-end development of production-grade ML models powering advertising effectiveness and ROI at massive scale. Remote-first, open to candidates located anywhere in the UK.

You will lead the creation of advanced ML algorithms, collaborate with data engineers to deploy models, and prototype high-performance solutions using historical data to validate performance and scalability.

Qualifications

• 3+ years of industry experience in applied ML.
• Master's degree or PhD in CS, Statistics, OR, or related field; dual degrees a plus.
• Ability to break ambiguous tasks into actionable steps.
• Strong understanding of statistics, optimization, and ML.
• Proficiency in coding, data structures, and algorithms.
• Enjoy collaborating in a friendly, collaborative environment.

Responsibilities

• Lead creation and optimization of advanced ML algorithms to improve advertising effectiveness and ROI.
• Own end-to-end development of production-grade ML models and deploy them in live systems.
• Prototype and test innovative algorithms and data pipelines using historical data.
• Lead iterative improvements based on data-driven insights.

Skills

Coding proficiency

Statistics knowledge

Problem decomposition

Collaboration

ML fundamentals

Education

Advanced degree in CS/Stats/OR

Tools

Python

TensorFlow

PyTorch

Job description

Role overview

Senior/Staff Applied Machine Learning Scientist role on a data science team that builds and optimizes advanced ML algorithms powering advertising effectiveness and ROI at massive scale. The position owns end-to-end development of production-grade ML models, from prototyping to deployment, within a high-volume environment processing millions of requests and billions of decisions per day. Remote-first, open to candidates located anywhere in the UK.

Responsibilities

• Lead the creation and optimization of advanced machine learning algorithms, from developing new methods to refining existing techniques, to enhance advertising effectiveness and ROI.
• Own the end-to-end development of production-grade ML models, writing efficient and scalable code while collaborating with Data Engineers to deploy and integrate algorithms into live systems.
• Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability.
• Lead iterative improvements based on data-driven insights.

Requirements

• 3+ years of industry experience.
• Master's degree or PhD in Computer Science, Statistics, Operations Research, or a related field; dual degrees a plus.
• Ability to take an ambiguously defined task and break it down into actionable steps.
• Comprehensive understanding of statistics, optimization, and machine learning.
• Proficiency in coding, data structures, and algorithms.
• Enjoyment of working in a friendly, collaborative environment with others.

Nice to have

• Dual degrees combining quantitative and computational disciplines.
• Experience deploying ML models into high-throughput, low-latency production systems.

Benefits and work setup

• Remote-first position open to candidates located anywhere in the UK.
• Base salary band of £102,656–£141,152 GBP.
• Highly competitive compensation with retirement/pension savings, paid time off including a birthday off, mental health support, health benefits from day one, work-from-home reimbursements, optional WeWork membership, parental leave, training and onboarding, and learning budgets for conferences and courses.