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For Companies At a Glance
- Tasks: Design and build large-scale machine learning systems for biological applications.
- Company: Join Altos Labs, a leader in cell rejuvenation and scientific innovation.
- Benefits: Enjoy a diverse workplace with opportunities for mentorship and collaboration.
- Why this job: Be part of a mission-driven team focused on reversing disease and enhancing cell health.
- Qualifications: M.S. or Ph.D. in Computer Science with 8+ years of software development experience required.
- Other info: Remote work options available; must have EU work permit.
The predicted salary is between 43200 - 72000 £ per year.
Our Mission
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Our Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission .
Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry.
We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission.
Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.
At Altos, 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 platforms, 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:
Who You Are
Minimum Qualifications
Preferred Qualifications
The salary range for Cambridge, UK :
Exact compensation may vary based on skills, experience, and location.
Before submitting your application:
– Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ()
– This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.
What We Want You To Know
We are a culture of collaboration and scientific excellence, and we believe in the values of diversity, 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.
Staff Machine Learning Engineer employer: Altos Labs
Contact Detail:
Altos Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, especially those related to 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 from Altos Labs and gain insights into their work culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with large-scale machine learning systems in detail. Be ready to share specific examples of projects you've worked on, focusing on your contributions and the impact they had on the overall success of the project.
✨Tip Number 4
Showcase your mentoring skills by discussing any previous experiences where you guided junior engineers or collaborated with cross-functional teams. Highlight how you promoted best practices and improved code quality in those situations.
We think you need these skills to ace Staff Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Staff Machine Learning Engineer position. Make sure you understand the responsibilities and qualifications required, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with large-scale machine learning systems and software development. Provide specific examples of projects you've worked on that align with the role's requirements.
Showcase Collaboration Skills: Since the role involves working with cross-functional teams, highlight any past experiences where you successfully collaborated with others, especially in scientific or technical environments. This can set you apart from other candidates.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the mission of Altos Labs. Mention how your values align with their focus on diversity and inclusion, and how you can contribute to their goals.
How to prepare for a job interview at Altos Labs
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with large-scale machine learning systems. Highlight specific projects where you designed and built data transformation pipelines or optimised architectures, as this will demonstrate your capability to contribute effectively to the team.
✨Emphasise Collaboration Skills
Since the role involves working closely with computational scientists from various disciplines, share examples of how you've successfully collaborated with cross-functional teams in the past. This will show that you can communicate effectively and understand user needs across different scientific areas.
✨Demonstrate Your Problem-Solving Approach
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Focus on your ability to build maintainable and scalable systems, as well as your approach to mentoring others in best practices, which aligns with the company's values.
✨Familiarise Yourself with Biological Concepts
While not mandatory, having a basic understanding of biological data formats and computational models can set you apart. Research relevant concepts beforehand, as this knowledge could be beneficial during discussions about the company's mission and projects.
