At a Glance
- Tasks: Build groundbreaking AI agents for real-time interaction using cutting-edge video technology.
- Company: Join Synthesia, a pioneer in Generative AI with a global customer base.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture focused on excellence and innovation.
- Why this job: Shape the future of AI and make a real impact on innovative products.
- Qualifications: 7+ years experience in engineering, with strong backend and ML skills.
The predicted salary is between 48000 - 72000 £ per year.
Synthesia is moving beyond static generation into the world of Agentic AI. We are building next-tier conversational agents that enable two-way, real-time interaction using our industry-leading AI video technology. We are looking for an unrelenting Senior/Lead Engineer to bridge the gap between infrastructure, UX, and machine learning to ship these groundbreaking features to our global customer base.
The Role:
- Agentic AI Ownership: Contribute end-to-end to our new suite of AI Agents, managing everything from prompt engineering and LLM integration to infrastructure and safe feature releases.
- Hybrid Challenges: Solve complex puzzles that sit at the intersection of UX design, robust infrastructure, and ML model performance.
- Strategic Project Lead: Take sole ownership of long-term initiatives, breaking down ambitious AI goals into iterative, validated milestones.
- Product Partnership: Work side-by-side with Product Managers to define the commercial application of our conversational tech. You’ll have a direct hand in shaping the product roadmap.
- Impact Analysis: Utilize our internal data frameworks to evaluate how your AI features drive commercial success, pivoting based on real-world performance.
- Technical Foresight: Ensure the team stays 6–12 months ahead by developing the engineering capabilities required for the next wave of AI challenges.
What We Are Looking For:
- Seasoned Engineer: 7+ years of total experience, with at least 3 years in a Senior or Lead capacity.
- High-Scale Experience: A background in high-performing engineering teams (scale-ups or top-tier tech firms) with a culture of excellence.
- Backend & ML Expertise: Deep knowledge of server-side architecture and Machine Learning. While we focus on the backend, you should be comfortable assisting with Frontend needs when necessary.
- SaaS Product Background: Experience building enterprise-level systems (billing, real-time collaboration, experimentation platforms, etc.) for AI-powered products.
- Commercial Mindset: You are motivated by shipping products that move the needle for the business.
- Leadership: Prior experience managing or mentoring small teams is a strong advantage.
Why Synthesia?
- Pioneering Tech: We’ve been building proprietary Generative AI since 2017. Join a team of world-class researchers and engineers.
- Global Trust: We serve over 50,000 customers, including half of the Fortune 500 (Zoom, McDonald’s, Heineken).
- Build First Culture: We hire the smartest people and give them the space to do their best work without bureaucracy.
Machine Learning Engineer employer: Synthesia
At Synthesia, we pride ourselves on being at the forefront of AI innovation, offering a dynamic work environment that fosters creativity and collaboration. Our 'Build First' culture empowers talented individuals to take ownership of their projects, while our commitment to employee growth ensures that you will continually develop your skills alongside industry leaders. With a global customer base and a focus on pioneering technology, working here means making a tangible impact in the world of conversational AI.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Synthesia. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repo showcasing your projects related to machine learning and AI. This gives us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by diving deep into our tech stack and understanding our products. The more you know about how we operate, the better you'll connect with us during the chat.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your backend and ML expertise, and don’t forget to mention any leadership experience you've had!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Agentic AI and how your background makes you the perfect fit for our team. Be genuine and let your personality come through.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing real-world applications of your skills, especially those that demonstrate your problem-solving abilities in ML and UX.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Synthesia
✨Know Your AI Stuff
Make sure you brush up on your machine learning concepts and the latest trends in AI. Be ready to discuss your experience with LLM integration and prompt engineering, as these are key areas for the role at Synthesia.
✨Showcase Your Leadership Skills
Prepare examples of how you've led projects or mentored teams in the past. Synthesia values leadership, so be ready to share how you've managed initiatives and contributed to team success.
✨Understand the Product Landscape
Familiarise yourself with Synthesia's products and their applications. Think about how your background in SaaS and enterprise-level systems can contribute to their goals, and be prepared to discuss this during the interview.
✨Think Cross-Disciplinary
Since the role involves bridging UX, infrastructure, and ML, be ready to talk about how you've tackled complex challenges that require collaboration across different domains. Highlight any experiences where you've successfully integrated these areas.
