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- Tasks: Transform research ideas into production-quality software and own deliverables end-to-end.
- Company: Symbolica is an innovative AI research lab focused on logical reasoning in machines.
- Benefits: Enjoy a competitive salary, equity package, and a high-trust culture with minimal bureaucracy.
- Why this job: Join a team redefining AI, bridging deep research with real-world applications for meaningful impact.
- Qualifications: 5+ years of software engineering experience, strong coding skills in Python & Rust, and ownership mindset.
- Other info: Onsite role in London; visa sponsorship available for qualified candidates.
The predicted salary is between 43200 - 72000 £ per year.
About Us
If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.
Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines.
Were a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, were building AI that understands the structures of thought, not just patterns in data.
Our approach combines rigorous research with fast-paced, results-driven execution. Were reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application.
Founded in 2022, weve raised over $30M from leading Silicon Valley investors, including Khosla Ventures,General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning.
Our vision is to create AI systems that transform industries, empowering machines to solve humanitys most complex challenges with precision and insight.JoinustoredefinethefutureofAIbyturninggroundbreakingideasintoreality.
About the Role
Were looking for Senior Software Engineers to take full ownership of delivering working systems from prototypes and high-level specs taking ideas from the research team, turning them into production-quality systems, and shipping them quickly.Youll work closely with researchers, ML engineers, and leadership to turn ambitious ideas into real products. You\’ll be expected to move fast, handle ambiguity, and fill the critical execution gap between research and production.
This role is perfect for someone who thrives on shipping who sees incomplete specs as an opportunity, not a blocker and who wants to build systems that work reliably, at scale, and in the real world.
This is an onsite role based in our London office (66 City Rd).
Your Focus
- Translate research prototypes and high-level concepts into production-quality software
- Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion
- Build systems that are correct, reliable, maintainable, and performant
- Work closely with ML researchers and engineers to integrate research outputs into functional systems
- Own critical engineering tasks with high standards and attention to detail data pipelines, API integrations, testing, error handling, system integration, and more
- Participate in code reviews, technical discussions, and architecture planning
- Contribute to improving processes for how we build, ship, and deliver features across teams
About You
- 5+ years of hands-on software engineering experience
- Proven ability to execute on incomplete specs and drive projects to completion
- Strong experience writing production-quality code (Python & Rust strongly preferred)
- Comfortable building full-stack systems (APIs, data pipelines, microservices, internal tools)
- High standards for code quality, maintainability, and correctness
- Comfortable in fast-moving, ambiguous environments where priorities shift quickly
- Bias for ownership: you see what needs to get done and take responsibility for delivering
- Experience supporting ML research or building ML infrastructure is a plus
What We Offer
- Competitive salary and early-stage equity package
- A high-trust, execution-first culture with minimal bureaucracy
- Direct ownership of meaningful projects with real business impact
- A rare opportunity to sit at the interface between deep research and real-world productisation
We are able to sponsor a Skilled Worker visa for qualified candidates applying to this position. This specific role exceeds the minimum salary threshold set by the UK government for Skilled Worker visa sponsorship. Please note that English language proficiency at B2 level or higher is required for this role.
Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.
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Senior Software Engineer London, UK (London) employer: Symbolica
Contact Detail:
Symbolica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer London, UK (London)
✨Tip Number 1
Familiarise yourself with category theory and its applications in AI. Understanding the theoretical foundations that Symbolica is built upon will not only impress during interviews but also help you engage meaningfully with the research team.
✨Tip Number 2
Showcase your experience with Python and Rust by preparing examples of past projects where you've used these languages to build production-quality systems. Be ready to discuss how you handled ambiguity and turned incomplete specs into successful outcomes.
✨Tip Number 3
Highlight your ability to work in fast-paced environments. Prepare anecdotes that demonstrate your adaptability and ownership in previous roles, especially when priorities shifted or when you had to deliver under tight deadlines.
✨Tip Number 4
Engage with the latest trends in machine learning infrastructure. Being knowledgeable about current tools and practices will show your commitment to supporting ML research and building robust systems, which is crucial for this role.
We think you need these skills to ace Senior Software Engineer London, UK (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Software Engineer position. Tailor your application to highlight how your experience aligns with their focus on translating research into production-quality software.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of hands-on software engineering experience. Be specific about your proficiency in Python and Rust, and provide examples of projects where you've successfully executed on incomplete specifications.
Showcase Your Problem-Solving Skills: Demonstrate your ability to thrive in fast-moving environments by sharing examples of how you've handled ambiguity and shifted priorities in past projects. This will resonate well with Symbolica's culture of execution and ownership.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for Symbolica's mission. Discuss how your skills can contribute to bridging the gap between theoretical mathematics and practical AI applications.
How to prepare for a job interview at Symbolica
✨Understand the Company’s Vision
Before your interview, make sure you grasp Symbolica's mission and how they apply category theory to AI. This will help you align your answers with their goals and demonstrate your genuine interest in their work.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss past projects where you turned incomplete specifications into successful products. Highlight your ability to navigate ambiguity and deliver results, as this is crucial for the role.
✨Demonstrate Technical Proficiency
Since the role requires strong coding skills in Python and Rust, be ready to showcase your experience with these languages. You might be asked to solve coding problems or discuss your approach to building full-stack systems.
✨Prepare for Collaborative Discussions
Expect to engage in technical discussions about architecture and code reviews. Be ready to share your thoughts on improving processes and integrating research outputs into functional systems, as collaboration is key at Symbolica.
