Senior ML Engineer - LLMs, Evaluation & Production in Cambridge

Senior ML Engineer - LLMs, Evaluation & Production in Cambridge

Cambridge Full-Time No working from home possible
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At a Glance

  • Tasks: Enhance AI models for scientific needs and create robust ML systems.
  • Company: Lilasciences, a pioneering company in Cambridge focused on AI innovation.
  • Benefits: Competitive salary, early-stage equity, and comprehensive international benefits.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a cutting-edge team and make a significant impact in the AI field.
  • Qualifications: Strong background in machine learning and software engineering required.

Lilasciences in Cambridge is seeking talented Senior/Staff Machine Learning Engineers to enhance AI models tailored for scientific needs. Candidates will work on bridging research and engineering to create robust production-oriented ML systems.

The position offers competitive compensation between $180,000 to $336,000 USD, alongside early-stage equity and comprehensive international benefits.

Ideal applicants should possess a strong background in machine learning, software engineering, and collaboration across teams.

Senior ML Engineer - LLMs, Evaluation & Production in Cambridge employer: Lilasciences

At Lila Sciences, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Principal or Principal Software Engineer in our AI Lab Execution System team, you will have the opportunity to lead cutting-edge projects that directly impact scientific discovery while enjoying comprehensive benefits, flexible time off, and a commitment to employee growth through mentorship and educational assistance. Join us in a dynamic environment where your contributions will shape the future of AI in science, all while working alongside passionate professionals dedicated to solving humanity's greatest challenges.

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Contact Details:

Lilasciences Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer - LLMs, Evaluation & Production in Cambridge

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 Lilasciences 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 Lilasciences.

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 Lilasciences.

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 Lilasciences 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 ML Engineer - LLMs, Evaluation & Production in Cambridge

Machine Learning
Software Engineering
Collaboration Skills
Production-Oriented ML Systems
AI Model Development
Research and Engineering Integration
Robust System Design

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 Lilasciences.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lilasciences 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 Lilasciences

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 Lilasciences 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.