Senior Software Engineer, Machine Learning

Roku, Inc.; Hartford; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A leading tech streaming company in Hartford is seeking a Machine Learning Engineer to build and develop ML models for content understanding in Ads. This role requires expertise in deep learning and computer vision, involving collaboration with software and other ML engineers to create scalable solutions. The ideal candidate should have a PhD in a relevant field and a passion for solving complex ML challenges. Benefits include comprehensive support and the opportunity to contribute in an inclusive environment.

Benefits

Comprehensive healthcare benefits

Flexible work schedule

Mental health support

Qualifications

• Publications at top-tier peer-reviewed conferences or journals (preferred).
• Experience in advertising or adjacent domains (preferred).

Responsibilities

• Develop scalable and effective machine-learning models for Ads.
• Run regular A/B experiments, gather data, and perform statistical analysis.
• Partner with stakeholders to drive the ML strategy for Ad Serving.

Skills

Deep learning

Computer vision

Statistical analysis

Cross-functional leadership

NLP approaches

Machine learning frameworks

Education

PhD in a relevant field

Job description

Job Overview

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.

Responsibilities

• Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
• Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving
• Experience in a tech lead role delivering large cross‑functional projects
• Experience with SOTA technology/frameworks/Infra for Modeling
• Worked at and contributed/led efforts at businesses where ML/Modeling is done at large scale/low latencies
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision
• Exceptional understanding of regression, classification, tree‑based approach, neural networks, sequence‑based, and NLP approaches like W2V or Bert
• Experience brainstorming and identifying the right KPIs and objective functions
• Capacity to start off independently as the inaugural Ad Serving team hire in Cambridge
• AI growth mindset

Qualifications

• Publications at top‑tier peer‑reviewed conferences or journals (preferred)
• Advertising or adjacent domain experience (preferred)
• PhD in a relevant filed (preferred)

Hybrid Work Approach

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable, and valued, contribution. We're a fast‑growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in‑office policy.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to [e-mail].

Roku Culture

Roku is a great place for people who want to work in a fast‑paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem‑solvers, which itself is a two‑part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.