System1 on cord

System1

Machine Learning Engineer

External position
Hiring internally for System1?
Market Research · Analytics
The Ad Effectiveness Agency.
Posted
2 months ago
Checked
cord regularly checks that external positions are still open
21 hours ago

Skills & Experience

Job roles: Machine Learning Engineer
Experience level: Senior
Core skills considered: Machine Learning, PyTorch, Python, Data Analysis, Deep Learning
Other skills considered: NLP, Computer Vision, Data Pipelines, Data Modeling

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We are looking for a pragmatic and ambitious Machine Learning Engineer to join an empowered product team and help build the models that power System1's Ad, Brand and Innovation products. You will work as a first-class member of the team alongside Product Managers, Engineers and Data Scientists to turn hard prediction problems into models that make our customers' decisions measurably better. This is a rare opportunity to build real ML at the heart of a product used by the world's largest advertisers, to work hands-on with modern tooling, and to grow your craft quickly in a team that ships.


What will you be doing?

  • Build, train and evaluate machine learning models in PyTorch to solve prediction problems across our Ad, Brand and Innovation products.
  • Work with text, image and video data, applying the right approach, from classic ML through modern deep learning and LLMs.
  • Prepare and explore datasets, building the features and pipelines your models need to perform reliably.
  • Run rigorous experiments, measuring model quality with the right metrics and iterating quickly towards better results.
  • Partner closely with Product Managers, Data Scientists and Engineers to frame problems and turn model outputs into real product value.
  • Package and document your models so they can be handed cleanly to our engineering team for deployment.
  • Keep your work reproducible and well-documented so others can understand and build on it.
  • Stay curious about new tools and techniques, bringing what you learn back to the team.
  • Contribute to a culture of good ML practice as the team and its capabilities grow around you.

You need to be this kind of person:

  • You reach for the simplest approach that solves the problem, and you know when a heuristic beats a heavyweight model.
  • Keen to learn and grow. You actively seek out new techniques, feedback and challenges, and you get better fast.
  • Outcome-driven. You measure success by the impact your models have for customers and the business, not by model complexity.
  • You care about sound evaluation, clean data, and results you can trust.
  • Comfortable with ambiguity. You can take a loosely defined problem and shape it into something you can model.
  • A natural collaborator, comfortable working with data scientists, engineers and product people at all levels.
  • Curious about the problem domain and interested in how advertising and brands work, or excited to become so.
  • Honest about what the data and models can and can't do, and able to communicate that clearly.

You need to have the following experience:

To be successful in this role, you will have approximately 3-5 years of hands-on machine learning experience and be ready to operate as a first-class member of an empowered product team.

  • Solid, hands-on experience building and training machine learning models with PyTorch.
  • A good grounding in ML fundamentals, from data preparation and feature engineering through to model evaluation.
  • Strong programming skills in Python and comfort with the modern ML and data stack (e.g. NumPy, pandas, scikit-learn).
  • Experience working with at least one data type in depth, whether text, images, video or structured/tabular data.
  • Familiarity with deep learning approaches and an appetite to learn more, including modern architectures and LLMs.
  • A track record of taking models beyond notebooks into work that others can build on and deploy.
  • Good habits around experiment tracking, version control (Git) and reproducibility.
  • Experience with NLP, computer vision or multimodal models is a strong nice-to-have.

This role will require you to balance speed with the rigour our customers expect, moving quickly from an idea to a well-evaluated model.

Machine Learning Engineer at System1
Position posted 2 months ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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