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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 cutting-edge AI challenges from day one.
- Qualifications: 2-3 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 60000 - 84000 £ per year.
Team: Machine Learning
Location: London (Liverpool Street)
Employment Type: Full-time and Permanent
Remuneration: £70–90k 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: At least 2–3 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.
Software Engineer – ML Data Platform (London) employer: Zettafleet
Contact Detail:
Zettafleet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – ML Data Platform (London)
✨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 could lead to valuable insights about the company and potentially even a referral.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Think of specific challenges you've faced in previous projects and how you approached them, as this will highlight your analytical abilities and fit for the role.
✨Tip Number 4
Research the founding team and their backgrounds. Understanding their experiences at companies like Microsoft and Goldman Sachs can help you align your answers with their expectations and show that you're genuinely interested in contributing to their vision.
We think you need these skills to ace Software Engineer – ML Data Platform (London)
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 problem-solving. Mention specific projects or experiences that demonstrate your analytical skills and ability to work autonomously.
Showcase Relevant Projects: If you have experience with open-source contributions or personal projects related to machine learning or data platforms, include these in your application. This can set you apart from other candidates.
Highlight Soft Skills: In addition to technical skills, emphasise your collaboration and communication abilities. Provide examples of how you've worked effectively in teams or contributed to a positive work culture.
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, cloud technologies, and any relevant frameworks or tools.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice breaking down complex problems into manageable tasks and explain your thought process clearly. This will showcase your analytical skills and attention to detail.
✨Emphasise Collaboration and Communication
Since the role involves working closely with a founding team, be ready to discuss 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 personal projects, contributions to open-source, or relevant experiences that demonstrate your interest in the field.
