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- Tasks: Design and develop a scalable data platform for processing massive training data.
- Company: Join a stealth-mode AI lab with a team of top-tier engineers and investors.
- Benefits: Enjoy a competitive salary, equity, 28 days holiday, and remote work options.
- Why this job: Be a Founding Engineer and tackle challenging problems that shape the future of AI.
- Qualifications: 5+ years in back-end development, proficient in Python, and cloud technologies.
- Other info: Passionate candidates are encouraged to apply, even if they don't meet every requirement.
The predicted salary is between 72000 - 100000 £ per year.
Team: Machine Learning
Location: London (Liverpool Street)
Employment Type: Full-time and Permanent
Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity
We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.
In this role, you will:
- Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data.
- Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data.
- Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models.
- Be given a high degree of autonomy and ownership over your work.
- Co-hire your future colleagues.
- Work closely with the founding team and contribute towards best practices, standards, and culture of the company.
What we are looking for:
- Back-end development: 5+ years of industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines.
- Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services.
- Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform).
- Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems.
- Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks.
- Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn.
We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you.
Nice to have:
- Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally.
- Open-source: Contributions to and experience in open-source projects.
- Front-end: Experience with TypeScript and front-end libraries such as React or Next.js.
- Startup experience: Experience with a startup work environment and wider ecosystem.
Why join us?
- Work in an environment conducting cutting-edge research in AI.
- An official role title of “Founding Engineer” - make an impact on day one.
- Competitive salary, equity and benefits package.
- 28 days + public holidays allowance.
- Opportunities for professional growth and progression with your career.
- Work on challenging engineering problems that have a real impact on the industry.
- Work with high-profile customers and technology partners.
Contact Detail:
Zettafleet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - ML Data Platform
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and data platforms. Being able to discuss recent advancements or challenges in the field during your interview can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Network with professionals in the AI and machine learning community. Attend meetups, webinars, or conferences where you can connect with people who work in similar roles. This can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of complex challenges you've tackled in previous roles. Be ready to discuss how you approached these problems and the impact of your solutions, as this aligns well with the expectations for the role.
✨Tip Number 4
Research the founding team and their backgrounds. Understanding their experiences and values can help you tailor your conversation during the interview, showing that you're not only interested in the role but also in contributing to the company's culture and vision.
We think you need these skills to ace Senior Software Engineer - ML Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in back-end development, particularly with data platforms and ETL pipelines. Emphasise your proficiency in Python and any cloud-native technologies you've worked with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and data. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work autonomously.
Highlight Relevant Skills: In your application, clearly outline your understanding of algorithms and data structures. Provide examples of how you've applied these skills to optimise production systems in previous roles.
Show Enthusiasm for the Company: Research the company and mention why you are excited about their mission and the opportunity to work on cutting-edge AI research. This shows your genuine interest and can set you apart from other candidates.
How to prepare for a job interview at Zettafleet
✨Showcase Your Technical Skills
Be prepared to discuss your experience with back-end development, particularly in building data platforms and ETL pipelines. Highlight specific projects where you used Python and cloud-native technologies like AWS or GCP.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice breaking down complex problems into manageable tasks and be ready to explain your thought process clearly.
✨Emphasise Collaboration and Communication
Since this role involves working closely with a founding team, showcase your interpersonal skills. Share examples of how you've successfully collaborated on projects and communicated effectively with team members.
✨Express Passion for Machine Learning
Even if you don't meet every requirement, showing enthusiasm for machine learning and data challenges can set you apart. Discuss any relevant experiences or projects, especially if they involve generative models or open-source contributions.
