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Senior Machine Learning Engineer

Cambridge, UK

Full time



About the Role

Who You Are

  • Proven track record leveraging machine learning to solve real-world problems;

  • Expertise in a subset of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models;

  • Expertise in computational infrastructure for deep learning, including GPUs, TPUs, cloud-based machine learning;

  • Experience with modern machine learning frameworks like PyTorch, TensorFlow, or similar;

  • Excellent communicator, both 1:1 and as a presenter to multi-faceted audiences. Ability to communicate technical concepts to people less familiar with the field;

  • Brings a can-do attitude that approaches problems and opportunities with curiosity and creativity;

  • Attentive to detail with excellent time management, multi-tasking, and prioritization skills;

  • Thrives in collaborative environments, thinks pragmatically, works flexibly, and uses good judgment;

  • Committed to contributing to making the work environment inclusive and enabling colleagues to contribute to their full potential in pursuit of the organizational objectives;

  • Excitement about the Altos mission of investigating cellular rejuvenation programming to restore cell health and resilience, with the goal of reversing disease to transform medicine;

  • Deep analytical thinker and problem solver;

  • Team player - enjoys working on larger efforts with others and puts the success of their team above their own;

  • Growth mindset - the desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine;

  • Bonus: Experience in cell health and rejuvenation-related research area;

  • Bonus: Experience in the application of machine learning methods to biological data;

  • Bonus: Experience in computational approaches to drug discovery;

  • Bonus: Proven track record in open-source software development, e.g., demonstrated by high-impact GitHub repository;

  • Bonus: Proven track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals.


  • Implement large-scale machine learning algorithms and systems and their application to biological datasets;

  • Preprocess and clean data for machine learning model input;

  • Train and optimize machine learning models on large, complex datasets;

  • Develop new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation;

  • Partner with world-class biologists across Altos to help generate biological insights with the goal of developing therapies;

  • Help create machine learning-based computational tools to support biological and biomedical research at Altos;

  • Bring computational thinking to bear on Altos’ mission and challenges, ranging from modeling biological phenomena to supporting Altos's research process and culture at Altos through computation and AI;

  • Continuously learn and stay up-to-date on the latest developments in deep learning for biological discovery.


  • Masters or Ph.D. degree in Computer Science or a related field, with the publication track record;

  • Very strong programming skills, including experience with Python and deep learning libraries such as TensorFlow or PyTorch;

  • Strong understanding of machine learning concepts, including model training, generalization, and optimization;

  • Experience with machine learning and deep learning applied to noisy large-scale real-world datasets;

  • Experience with large-scale tabular, image, and sequence data;

  • Experience with distributed machine learning.

We are open and interested in having people at varying levels of experience:

The salary ranges for this position are: Senior ML Engineer £83,300 to £112,700; Staff ML Engineer £100,300 to £135,700; Senior Staff ML Engineer £119,000 to £161,000.

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