Explore roles
Description
DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence.
Role
The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives.
As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce.
The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure.
Responsibilities
Proactive approach with team members and clients
Continuous improvement of core AI services
Take ownership of the services within your expertise
Contribute to the ongoing innovation R&D projects
Implement and maintain ML Infrastructure
Requirements
Degree in relevant field with 3+ years of industry experience
Strong Technical Skills: Python, Production APIs, Infrastructure as Code,
AWS or other Cloud provider
Deep understanding of Natural Language Processing / Generative AI /
Image Recognition
Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics.
Experience with MLOps
Excellent organisation skills, working independently and ability to deliver results for deadlines.
A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively.
Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences.
Experience in ecommerce space
Benefits
Competitive Salary
Generous vacation time (25 days of annual leave)
Yearly “Reset Week” in addition to annual leave allowance
Freedom to experiment with your own ideas
Environment to develop your skills without bureaucracy or red tape
Monthly fitness stipend of $210 or fully paid Third Space Membership
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Role tech stack
Culture overview
DigitalGenius fosters a values-driven, high-impact culture where curiosity, ownership, and collaboration are at the core. The team is guided by five key principles: Keep it Real, Stay Nimble, Win/Lose Together, Be Proactive, and Create Love—reflecting a shared commitment to honesty, adaptability, team accountability, initiative, and care for customers. Employees are trusted to take ownership, move quickly, and challenge the status quo, all while working in a supportive, transparent environment. Whether remote or in-office, the team operates with mutual respect, clear goals, and a drive to make a real difference in the way ecommerce brands support their customers.
Employee benefits
Extra seasonal holidays
Flexible Hours
Flexible Working
Gym Membership
Wellbeing Programme
Office vibe
Clubs & Meetups
Remote-first
Team Building Days
Location
Tech at
DigitalGenius
Tech overview
Our journey began in 2014, building marketing chatbots ahead of the first wave of their popularity. We deployed these to big enterprises like BMW, Panasonic, Unilever, and more.
We were the first to offer deep learning AI embedded within Salesforce to make customer service agents more productive. This product has been adopted by KLM, Thomson Reuters and others. On the back of that success, we raised over $25 million from notable VCs like Salesforce Ventures, Runa, SquareOne, MMC, Lerer Hippeau, Lowercase.
However, our time spent with customer service agents led to a secret insight - for effective issue resolution, AI needs robust tools, data, and advanced process automation.
This insight is at the core of our mission, which we embarked on in 2020 and now accelerating with generative AI.
Company tech stack
