
Twilio · Remote - Ireland
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands ...
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions
to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location,
you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the
world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your
hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real
Twilions!
.
See yourself at Twilio
Join the team as Twilio’s next Machine Learning Engineer.
About the job
This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning
Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging
data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to
production inference - that directly shape how businesses understand their customers.
Responsibilities
validation, and deployment with guidance from senior engineers on complex architectural decisions
against defined SLOs
inference services healthy
raise overall code quality through thoughtful review feedback
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to
apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We
are always looking for people who will bring something new to the table!
experience
ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or
SpaCy.
environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure)
and non-technical audiences.
retraining, and monitoring.
Location
1. This role will be remote from Ireland.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be
required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave,
healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out
colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in
their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this
role isn't what you're looking for, please consider other open positions.
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex
(including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender
identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information,
political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with
criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction
records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the
California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Machine Learning Engineer. Let us tell you about the role 📖 As a Machine Learning Engineer at Nextory, you'll build the systems that power how users discover, understand, and engage with books. You'll work across AI agents, search, recommendations, retrieval, and product experiences, turning advances in AI into features that users interact with every day. Some examples of what you'll be doing: * Build intelligent recommendation, search, and discovery systems that help users find their next favorite book and connect with the right content faster. * Use AI, user behavior, and content understanding to continuously improve relevance, engagement, and user experience. * Design, build, and operate scalable machine learning systems using LLMs, retrieval, recommendation, and agent technologies. * Collaborate across product and engineering teams to deliver reliable AI-powered features with measurable user impact. Your story so far 👀 We believe you're an experienced engineer who enjoys solving complex problems and turning emerging technology into products that people love using. You are comfortable moving between product thinking and technical implementation, and you thrive in environments where experimentation, ownership, and fast iteration are part of everyday work. We also believe that you have: * BSc in Computer Science or another relevant field, or equivalent work experience. * At least 3 years of experience in a similar role * Strong programming skills in Python. * Experience working with AI agents and agent-based systems. * Experience building and shipping LLM-powered features to production. The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application 💫. Applications are reviewed continuously, but please note that due to summer vacations, our response times may be a little longer than usual. If you have any questions about the role, please contact erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.
This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. MACHINE LEARNING ENGINEER €80K – €210K • Equity Buyback Available. You’ll take ownership of designing, developing, and scaling impactful, production-grade ML solutions that power Almedia’s products and growth. This is a hands-on role involving active participation in code development and delivery. TYPES OF PROBLEMS YOU’LL BE SOLVING * Designing and optimising user reward schemes based on player behaviour and market shifts * Leading the design and implementation of solutions for personalised, real-time reward values * Developing solutions for identifying underperforming reward campaigns and causes of failure YOUR ROLE * Lead end-to-end delivery: build, deploy, and optimise solutions and services at scale * Provide technical leadership across ML projects, ensuring best practices and high-quality code * Align technical capabilities with business priorities to unlock high-value opportunities * Apply advanced statistical and causal inference methods to ensure robustness and reliability * Partner with product and engineering teams to translate business challenges into predictive, data-driven solutions YOU HAVE * Proven expertise in building, deploying, and maintaining solutions and services in production, ideally in adtech or high-scale environments * Deep knowledge of statistics (A/B testing, regression, probability) * Strong programming background in Python and SQL, with hands-on cloud experience * Ability to mentor and set technical direction for ML engineers and cross-functional peers * Strong communication skills to influence both technical and non-technical stakeholders BONUS POINTS FOR * Passion for gaming and strong understanding of player behaviour * Experience with adtech, monetisation platforms, or the gambling industry * Familiarity with gaming KPIs such as pLTV, retention, and ROAS WHY ALMEDIA? * Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success. * Scale With Almedia: Grow alongside a startup that has been profitable from day one. * Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin. * Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. #LI-PRIO ABOUT THE ROLE Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. WHAT YOU'LL BE DOING: * Building and deploying production-grade ML software, tools, and infrastructure. * Creating reusable, scalable solutions that accelerate the delivery of ML systems. * Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. * Leading technical scoping and architectural decisions to ensure project feasibility and impact. * Defining and implementing Faculty’s standards for deploying machine learning at scale. * Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. WHO WE'RE LOOKING FOR: * You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. * You possess strong Python skills and solid experience in software engineering best practices. * You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. * You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale * You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. * You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. * You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 minutes) 4. Commercial Interview (60 minutes) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.