At a Glance
- Tasks: Transform cutting-edge AI research into reliable products and scalable APIs for customers.
- Company: Join a forward-thinking tech company with a remote-first culture and a focus on innovation.
- Benefits: Enjoy competitive pay, unlimited PTO, equity options, and premium health benefits.
- Other info: Flexible schedules and team retreats foster a collaborative and inclusive work environment.
- Why this job: Make a real impact in AI while collaborating with diverse teams and tackling exciting challenges.
- Qualifications: Strong backend engineering skills and a genuine curiosity about AI/ML are essential.
The predicted salary is between 59400 - 72600 £ per year.
We’re hiring a Software Engineer to help turn cutting-edge AI research into products our customers rely on every day. You’ll sit on a fast-paced engineering team between our research org and our Applied teams, taking new model capabilities from proof of concept to robust, well-documented APIs serving production traffic at scale.
Responsibilities:
- Design and ship customer-facing APIs that expose new model capabilities, owning them from prototype through launch and ongoing iteration.
- Scale inference infrastructure to support our 1M+ API users.
- Partner with researchers to productionise new techniques, turning a notebook or POC into something with the latency, reliability, and ergonomics customers expect.
- Work with our customers and Applied teams to understand how users are building with our products, and feed that back into product design and research direction.
- Contribute across the stack as needed: backend services, inference infrastructure, SDKs, internal tooling.
Benefits:
- Home office stipend: Every new team member gets U$1,000 to improve their home office.
- Equity: Every team member receives a generous equity grant.
- Premium benefit offerings: We offer premium medical, dental, and vision plans and cover up to 100% of the premiums for both the employee and their family.
- Unlimited PTO: We offer a flexible PTO policy to all team members.
- Team offsites: We have team and company-wide retreats in amazing locations.
- Global remote team: Our remote-first culture allows team members to make an impact from anywhere in the world.
- Diversity and inclusion: We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Flexible schedule: We believe in giving our team members ownership over their work and a flexible schedule.
Qualifications:
- Genuine curiosity about AI/ML.
- Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production.
- Comfort operating with ambiguity.
- Strong collaboration skills.
Senior Software Engineer (Inference) in London employer: AssemblyAI
AssemblyAI is an exceptional employer that fosters a dynamic and inclusive work culture, where every team member has the opportunity to make a significant impact on the future of voice AI technology. With a commitment to employee growth, competitive compensation, and a fully remote work environment, AssemblyAI empowers its employees to thrive while working on cutting-edge projects alongside a small, dedicated team. Join us to be part of a meritocratic organisation that values creativity, collaboration, and real ownership in shaping the voice AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Inference) in London
✨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 AssemblyAI 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 AssemblyAI.
✨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 AssemblyAI.
✨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 AssemblyAI 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 Senior Software Engineer (Inference) in London
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 AssemblyAI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AssemblyAI 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 AssemblyAI
✨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 AssemblyAI 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.
