Senior Machine Learning Engineer

Our Mission

To restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.

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.

Who You Are

• Proven track record leveraging machine learning to solve real-world problems
• Expertise in a large 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 such as TensorFlow, PyTorch 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
• Fostering an inclusive and diverse workforce that enables all participants to contribute to their full potential in pursuit of organizational objectives
• Proven track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals
• 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 - desire to constantly expand your skillset and knowledge and that working with others is an opportunity for growth. Keen to learn more about biology, computational science, and medicine
• This position includes the option to create and lead a team for selected Altos-projects
• 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: Experience with software development and open-source software

Responsibilities

• Partner with world-class biologists across Altos to help design studies on cell health and rejuvenation, analyze the resulting datasets, and help generate biological insights
• Partner with other computational scientists at Altos to develop the vision for computational work at Altos
• Develop new statistical and machine learning-based methodologies for analyzing biological data to produce biological insights about cell health and rejuvenation
• Help create computational tools useful to achieve biological insights across Altos
• Bring computational thinking to bear on Altos’ mission and challenges, ranging from modeling biological phenomena to supporting the research process and culture at Altos through computation and AI
• Provide the machine learning infrastructure and expertise for the San Diego Institute of Science by working mainly on-site

Minimum Qualifications

• Expert in machine learning and artificial intelligence with Ph.D.
• 5+ years experience in machine learning, statistics, computational biology, or related fields
• Demonstrated expertise in languages such as R or Python for computational analyses
• Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars

The salary range for this position is $170,000 to $230,000