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- Tasks: Design and optimise large-scale machine learning systems for biological applications.
- Company: Join Altos Labs, a leader in cell rejuvenation and scientific innovation.
- Benefits: Enjoy a collaborative culture, remote work options, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team focused on reversing disease and enhancing life quality.
- Qualifications: M.S. or Ph.D. in Computer Science with 8+ years of software development experience required.
- Other info: Diversity and inclusion are core values; all backgrounds are encouraged to apply.
The predicted salary is between 43200 - 72000 £ per year.
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Diversity at Altos: We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute To Altos: Altos Labs is seeking a Staff Machine Learning Engineer who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
Responsibilities:
- Designing, building, and evaluating large-scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc.
- Motivated to build, deploy, and manage systems to accelerate large-scale machine learning workflows in an integrated, usable framework.
- Interested in understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively.
- Demonstrated software engineering skills in developing reliable, scalable, performant systems in a cloud environment.
- Champion maintainable, scalable, and reusable software engineering techniques and act as an ambassador to promote effective tools and practices to the research community.
- Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.
Who You Are
Minimum Qualifications:
- M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience.
- 8+ years software development experience.
- Extensive experience with large scale machine learning tools and infrastructure.
- Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics.
- Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions.
- Proven track record of delivering high quality software.
- Skilled at working effectively with cross-functional teams, including research and engineering organizations.
- Excellent written and verbal communication skills.
Preferred Qualifications:
- Familiarity with biological data formats, concepts, and computational models is a plus.
The salary range for Cambridge, UK: Exact compensation may vary based on skills, experience, and location.
What We Want You To Know:
We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Staff Machine Learning Engineer Institute of Computation / 14 January 2025 employer: Altos
Contact Detail:
Altos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer Institute of Computation / 14 January 2025
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in biological applications. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of computational biology and machine learning. Attend relevant conferences or webinars where you can meet potential colleagues and learn about their experiences at Altos Labs.
✨Tip Number 3
Showcase your collaborative skills by participating in open-source projects or contributing to research that involves cross-functional teams. This experience will demonstrate your ability to work effectively with diverse groups, which is crucial for this role.
✨Tip Number 4
Prepare to discuss your experience with large-scale machine learning systems in detail. Be ready to share specific examples of how you've optimised workflows or improved system performance, as this will be key in demonstrating your fit for the position.
We think you need these skills to ace Staff Machine Learning Engineer Institute of Computation / 14 January 2025
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Staff Machine Learning Engineer position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 8+ years of software development experience and any specific projects related to large-scale machine learning systems. Use concrete examples to demonstrate your skills in designing and implementing scalable solutions.
Showcase Collaboration Skills: Since the role involves working closely with cross-functional teams, include examples of past collaborations with computational scientists or engineers. Highlight your ability to communicate effectively and mentor others in best practices.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for scientific innovation and diversity. Mention how your unique perspective can contribute to Altos Labs' mission and culture of belonging.
How to prepare for a job interview at Altos
✨Understand the Mission
Before your interview, make sure you fully grasp Altos Labs' mission to restore cell health and resilience. Be prepared to discuss how your skills in machine learning can contribute to this goal, showcasing your passion for scientific innovation.
✨Showcase Your Technical Skills
Highlight your experience with large-scale machine learning systems and cloud environments. Be ready to provide specific examples of projects you've worked on that demonstrate your ability to design, build, and evaluate complex systems.
✨Emphasise Collaboration
Since the role involves working closely with computational scientists from various disciplines, be sure to discuss your experience in cross-functional teams. Share examples of how you've effectively communicated and collaborated with others to achieve common goals.
✨Prepare for Cultural Fit Questions
Altos Labs values diversity and inclusion, so expect questions about how you can contribute to a positive team culture. Think about your past experiences and how they align with their focus on belonging and valuing unique perspectives.
