Machine Learning Engineer / ML Engineer - Roleplay Sessions

Machine Learning Engineer / ML Engineer - Roleplay Sessions

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI engines for interactive roleplay training, enhancing real-time feedback and learning.
  • Company: Join Synthesia, a leading AI video platform trusted by top brands worldwide.
  • Benefits: Competitive salary, stock options, 25 days leave, and flexible remote work opportunities.
  • Other info: Dynamic culture focused on innovation and rapid growth in the AI sector.
  • Why this job: Be part of the AI revolution and create impactful products that transform learning.
  • Qualifications: 7+ years in software engineering with strong ML application skills.

The predicted salary is between 72000 - 88000 £ per year.

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

About the role:

Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching.

For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products.

Please bring with you:

  • Ability to apply your machine learning knowledge to solve real product problems.
  • At least seven (7) years of experience as a software engineer, with at least 2 years at senior level.
  • Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture.
  • Strong alignment with commercial success.
  • Pragmatism and bias towards action. This role requires comfort with fast iteration.

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one.

Our culture:

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible.

Serving 50,000+ customers (and 50% of the Fortune 500). We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more.

Proprietary AI technology:

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world‑class AI researchers and engineers.

AI Safety, Ethics and Security:

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.

The hiring process:

  • Tech Recruiter Interview (30-40min) - Technical background, previous experience, and what you're looking for.
  • Delivery and Impact Interview (60min) - Deep dive into your past projects, impact, and ways of working.
  • Technical Rounds:
    • Work Scenario Round (BE Focus) (75-90min) - Hands‑on problem solving (not Leetcode style); collaboration exercise with one of our engineers. AI‑assisted coding welcome.
    • System Design Technical Discussion (60min) - Real architectural problems we've faced in production.
    • Leadership Retrospective (60min) - Examples of collaboration and growth; your future manager or VP of Engineering will outline your role and what's ahead.

Final debrief on our side which leads to an offer or the end of the process. The process does not need to take long - we can be done in two weeks time.

Other important info:

Our preference is for this role to be based either in-office or remote in the following locations: UK, Germany, Switzerland or Ireland. We may also be able to support remote workers in other locations across Europe subject to compliance and right to work checks. The salary starts at EUR/GBP/CHF 120.000 base + RSU's. This is full-time employment only - no contractors possible - through our entities or EOR (OysterHR). Everyone at Synthesia gets 25 days of leave + local holidays.

Machine Learning Engineer / ML Engineer - Roleplay Sessions employer: Synthesia

At Synthesia, we pride ourselves on being a fast-paced and innovative employer, where exceptional talent is not just welcomed but actively sought after. Our London headquarters fosters a dynamic work culture that prioritises autonomy, creativity, and impactful contributions, allowing employees to see their work make a real difference in the rapidly evolving AI landscape. With ample opportunities for personal and professional growth, and a commitment to maintaining a low-ego, high-trust environment, Synthesia is the ideal place for those looking to thrive in a meaningful and rewarding career.

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Contact Details:

Synthesia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer / ML Engineer - Roleplay Sessions

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Synthesia or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Synthesia.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Synthesia.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Synthesia that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Machine Learning Engineer / ML Engineer - Roleplay Sessions

Machine Learning
Software Development
Real-Time Feedback Systems
Model Creation
Performance Scoring
AI Coaching
Product-Focused Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Synthesia.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Synthesia and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Synthesia

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Synthesia uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.