Machine Learning Research Engineer
Machine Learning Research Engineer

Machine Learning Research Engineer

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
A

At a Glance

  • Tasks: Design and implement cutting-edge AI models for biology, driving breakthroughs in medicine.
  • Company: Join Prima Mente, a pioneering company focused on enhancing brain health through innovative research.
  • Benefits: Enjoy growth opportunities, a collaborative culture, and the chance to make a real impact.
  • Why this job: Work at the forefront of AI, with autonomy and a team that values curiosity and excellence.
  • Qualifications: Deep understanding of machine learning, experience in scalable data pipelines, and strong collaboration skills.
  • Other info: Flat organisational structure encourages initiative and personal development.

The predicted salary is between 48000 - 84000 £ per year.

About Prima Mente
Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.
Role focus – Foundation Models for Biology
You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology.

  • Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability.
  • Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes
  • Refactor and scale prototype research code into clean, maintainable, and performant repositories suitable for production-grade deployments.
  • Create high-speed data processing workflows capable of efficiently handling large-scale datasets to accelerate experimentation and model development.
  • Experimental design, prioritising high impact experiments with the highest signal:noise ratio.

Expected Growth

  • In 1 month you will be responsible for running initial experiments with state-of-the-art machine learning models, reviewing and implementing cutting-edge research papers, and optimizing existing code for efficiency and accuracy.
  • In 3 months you will directly own and have created a prototype model architecture, demonstrated significant algorithmic improvements, and contributed to scaling methods for large-scale data ingestion and training.
  • In 6 months, you’ll have developed a high-performance version of a foundation model, implemented key algorithmic optimizations that boost scalability and throughput, and published internal benchmarks demonstrating significant research impact.

Why Join Us:

  • Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.
  • Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.
  • Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.
  • Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

Culture Insight
What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.
Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence.
We arrange our lives so we can work in person as much as possible.
Our Values

  • Exceptional performance at exceptional pace
  • The solutions we build demand uncompromising quality and rigour.
  • The problems we are solving are grave and present.
  • Inquisitive discovery
    • We embrace curiosity and creativity.
    • Every question is a path to a transformational breakthrough.
  • Radical candour
    • We practice unwavering honesty and transparency in all our challenges and interactions.
  • Purposeful individuality
    • Every individual in our team is celebrated for their identity, uniqueness, and experiences.
    • We are invested in each one’s bespoke personal development.
    • Nurturing individuality will supercharge our collective purpose and spirit.
  • Patient impact at scale
    • We have a steadfast commitment to improve the health and well-being of patients globally.
    • Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

    Who You Are

    • Ambitious and Impact-Driven: You\’re inspired by working at the forefront of AI and biology, motivated by challenges that can significantly advance human health.
    • Technical Excellence: You thrive in highly technical, complex environments and have a track record of turning cutting-edge research into robust production systems.
    • Collaborative & Communicative: You excel at collaborating across disciplines, clearly articulating complex ideas, and driving alignment among research and engineering teams.

    Ideal experience

    • Deep understanding of state-of-the-art machine learning methodologies and proven experience in translating them into practical solutions.
    • Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency.
    • Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilization.
    • Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing.
    • Deep expertise in modern ML frameworks and tools (e.g., PyTorch, JAX, TensorFlow), and familiarity with state-of-the-art training and inference workflows.
    • Skilled in clearly articulating complex ideas, effectively communicating why particular approaches succeed or fail, and providing insightful critical analyses.
    • Experience of building highly collaborative research teams.
    • Track record of working on hard problems for long periods of time.
    • High agency with the ability to jump on any task as needed.
    • Demonstrated experience training, optimizing, and deploying large-scale models (7B+ parameters).
    • Low level algorithm optimisation
    • Quantization (8bit or lower)
    • JIT compilation
    • XLA/Mosaic/Triton/CUDA
  • Hardware optimisation (GPU/TPU/HPU)
  • Finetuning Optimization (QLora, QDora)
  • Large scale data above 2T tokens
  • Interview Process
    You will interact with co-founders Ravi and Hannah, before meeting the technical team across a deep dive on your CV and then a round of technical and presentation challenges.

    #J-18808-Ljbffr

    Machine Learning Research Engineer employer: Antler

    At Prima Mente, we are dedicated to pushing the boundaries of AI and biology, offering a unique opportunity for Machine Learning Research Engineers to make a meaningful impact on global health. Our collaborative and innovative work culture fosters personal growth and encourages autonomy, allowing you to contribute to groundbreaking research while working alongside a talented team of experts. With a commitment to excellence and a flat organisational structure, we empower our employees to take initiative and drive transformative solutions in a rapidly evolving field.
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    Contact Detail:

    Antler Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Machine Learning Research Engineer

    ✨Tip Number 1

    Familiarise yourself with the latest advancements in machine learning methodologies, especially those related to multi-omics and foundational models. This will not only help you during the interview but also demonstrate your genuine interest in the field.

    ✨Tip Number 2

    Engage with the community by attending relevant conferences or webinars focused on AI and biology. Networking with professionals in these areas can provide insights and potentially lead to referrals.

    ✨Tip Number 3

    Prepare to discuss your previous projects in detail, particularly those that involved large-scale data processing or algorithm optimisation. Be ready to explain your thought process and the impact of your work.

    ✨Tip Number 4

    Showcase your collaborative skills by highlighting experiences where you worked across disciplines. Emphasising your ability to communicate complex ideas clearly will resonate well with the team-oriented culture at Prima Mente.

    We think you need these skills to ace Machine Learning Research Engineer

    Deep understanding of state-of-the-art machine learning methodologies
    Experience in translating research into practical solutions
    Solid foundation in distributed computing principles
    Parallel processing expertise
    Algorithmic efficiency optimisation
    Skilled in designing scalable data pipelines
    Experience with rapid data ingestion and transformation
    Proficiency in modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
    Familiarity with training and inference workflows
    Ability to articulate complex ideas clearly
    Experience building collaborative research teams
    Track record of solving complex problems over extended periods
    High agency and adaptability to various tasks
    Experience training and deploying large-scale models (7B+ parameters)
    Low-level algorithm optimisation techniques
    Quantization methods (8bit or lower)
    JIT compilation knowledge
    Experience with XLA/Mosaic/Triton/CUDA
    Hardware optimisation skills (GPU/TPU/HPU)
    Finetuning optimisation techniques (QLora, QDora)
    Experience with large-scale data handling (above 2T tokens)

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights your experience with machine learning methodologies, distributed computing, and any relevant projects. Use specific examples that demonstrate your technical excellence and collaborative skills.

    Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and biology. Discuss how your background aligns with Prima Mente's mission and values, and mention specific experiences that showcase your ability to tackle complex problems.

    Showcase Relevant Projects: Include a section in your application that details any significant projects you've worked on, especially those involving large-scale models or innovative ML solutions. Highlight your role and the impact of these projects.

    Prepare for Technical Challenges: Since the interview process includes technical challenges, brush up on your knowledge of modern ML frameworks and be ready to discuss your approach to algorithm optimisation and data pipeline design.

    How to prepare for a job interview at Antler

    ✨Showcase Your Technical Expertise

    Be prepared to discuss your experience with state-of-the-art machine learning methodologies. Highlight specific projects where you've successfully translated research into practical solutions, especially in high-performance ML algorithms and scalable data pipelines.

    ✨Demonstrate Collaborative Skills

    Since the role involves working closely with diverse teams, be ready to share examples of how you've effectively communicated complex ideas and collaborated across disciplines. This will show that you can thrive in a flat organisational structure.

    ✨Prepare for Technical Challenges

    Expect to face technical and presentation challenges during the interview. Brush up on your knowledge of modern ML frameworks like PyTorch or TensorFlow, and be ready to discuss your approach to algorithm optimisation and large-scale model deployment.

    ✨Emphasise Your Curiosity and Problem-Solving Skills

    Prima Mente values inquisitive discovery, so express your curiosity and creativity. Share instances where your questions led to breakthroughs or innovative solutions, demonstrating your alignment with their culture of radical candour and purposeful individuality.

    Machine Learning Research Engineer
    Antler
    A
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