At a Glance
- Tasks: Implement large-scale machine learning algorithms to analyse biological datasets and generate insights.
- Company: Join Altos Labs, a pioneering company focused on cellular rejuvenation and health.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with world-class scientists and a commitment to diversity and inclusion.
- Why this job: Make a real impact in healthcare by applying cutting-edge machine learning to biological research.
- Qualifications: Masters or Ph.D. in Computer Science with strong programming skills and machine learning experience.
The predicted salary is between 70000 - 90000 £ per year.
About Altos Labs
Our mission at Altos Labs is to restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life. We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission, focusing on Belonging so all employees feel valued for their unique perspectives.
About the Role
As a Senior Machine Learning Engineer, you will be instrumental in implementing large-scale machine learning algorithms and systems and applying them to biological datasets. You will be responsible for developing new statistical and machine learning-based methods to analyze biological data, generating insights into cell health and rejuvenation. This role involves significant collaboration with world-class biologists and contributing computational thinking to Altos's mission and challenges, from modeling biological phenomena to enhancing our research culture through computation and AI.
Responsibilities
- 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.
Qualifications
- Masters or Ph.D. degree in Computer Science or a related field, with a 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.
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, able to convey technical concepts to diverse audiences.
- Brings a can-do attitude, curiosity, and creativity to problems and opportunities.
- 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 fostering an inclusive work environment.
- Excitement about Altos's mission of investigating cellular rejuvenation programming to restore cell health and resilience.
- Deep analytical thinker and problem solver.
- Team player, focused on team success.
- Growth mindset, eager to expand skillset and knowledge in biology, computational science, and medicine.
Senior Machine Learning Engineer in Cambridge employer: Altos Labs
At Altos Labs, we pride ourselves on being an exceptional employer that champions a culture of belonging and collaboration. As a Senior Machine Learning Engineer, you will not only work alongside world-class scientists but also have access to continuous learning opportunities and cutting-edge resources in a dynamic environment focused on advancing cellular rejuvenation programming. Our commitment to inclusivity and employee growth ensures that every team member feels valued and empowered to contribute to meaningful breakthroughs in health and science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and biology on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to biological datasets. This could be anything from GitHub repositories to blog posts explaining your work. It’s a great way to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges and be ready to discuss your past projects in detail. Also, think about how you can contribute to Altos's mission and be prepared to share your ideas during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission at Altos Labs. So, get that application in and let’s make a difference together!
We think you need these skills to ace Senior Machine Learning Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your programming prowess, especially in Python and deep learning frameworks like TensorFlow or PyTorch, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for Altos's mission and how your background in machine learning can contribute to our goals. Don’t forget to mention any collaborative projects you've worked on with biologists or other scientists.
Showcase Your Projects:If you’ve got any relevant projects or publications, make sure to include them! We love seeing real-world applications of machine learning, especially those that relate to biological datasets. This will help us understand your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Altos Labs!
How to prepare for a job interview at Altos Labs
✨Know Your Algorithms
Brush up on the large-scale machine learning algorithms you’ve worked with. Be ready to discuss how you've implemented them in real-world scenarios, especially in relation to biological datasets. This will show your technical expertise and relevance to Altos Labs' mission.
✨Showcase Your Collaboration Skills
Since this role involves working closely with biologists, prepare examples of past collaborations. Highlight how you’ve effectively communicated complex technical concepts to non-technical team members. This will demonstrate your ability to thrive in a collaborative environment.
✨Stay Current with Trends
Familiarise yourself with the latest developments in deep learning and its applications in biology. Mention any recent papers or breakthroughs that excite you during the interview. This shows your passion for continuous learning and aligns with Altos's innovative spirit.
✨Emphasise Your Problem-Solving Approach
Prepare to discuss specific challenges you've faced in machine learning projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will highlight your analytical thinking and problem-solving skills, which are crucial for the role.
