Machine Learning Engineer/Machine Learning Scientist , Multi Modality at Altos Labs

San Diego, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Healthcare, Machine LearningIndustries

Requirements

Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
Highly collaborative in mindset and ways of working
Self-motivated to drive and deliver on projects and goals
Demonstrates the desire to grow professionally and expand skillset and knowledge; keen to learn more about biology, computational science, and drug development
Ability to communicate and explain the design, results, conclusions, and impact of work to both scientific and nonscientific staff
Able to stay up-to-date on the latest developments in deep learning and apply knowledge to work
Keen to contribute to seminars and other scientific initiatives within Altos and the broader scientific community
For Machine Learning Engineer: MS in Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related discipline; 0-5 years of relevant work experience in academic or industry setting

Responsibilities

Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs (both roles)
For Machine Learning Engineer: Build, deploy, and optimize machine learning models at scale
For Machine Learning Engineer: Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes
For Machine Learning Engineer: Apply software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment
For Machine Learning Scientist: Design, develop, and evaluate state-of-the-art foundation models at scale to benefit research
For Machine Learning Scientist: Gain insights based on theory, deep research, and mathematical underpinnings of work
For Machine Learning Scientist: Use AI as a tool to accelerate research
For Machine Learning Scientist: Apply strong coding experience to model development using existing languages and frameworks
Partner and collaborate with other Machine Learning Scientists and Engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem
Focus on designing and building state-of-the-art multimodal foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease

Skills

Key technologies and capabilities for this role

Machine LearningGenerative ModelsFoundation ModelsMultimodal ModelsPre-trainingFine-tuningLarge-scale MLBiological DataNatural Language ProcessingModel DeploymentModel Optimization

Questions & Answers

Common questions about this position

What is the salary or compensation for this Machine Learning Engineer/Scientist role?

This information is not specified in the job description.

Is this Machine Learning position remote or does it require working in an office?

This information is not specified in the job description.

What key skills are required for the Machine Learning Engineer role?

Key skills include building, deploying and optimizing machine learning models at scale, pre-training and fine-tuning large-scale systems using multimodal biological data and natural language inputs, developing efficient data loading strategies for distributed training, and applying software engineering skills for reliable, scalable distributed systems in the cloud.

What is the company culture like at Altos Labs?

Altos emphasizes a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity, with a core value of 'Everyone Owns Achieving Our Inspiring Mission' and a strong focus on diversity, belonging, and inclusive perspectives for scientific innovation.

What makes a strong candidate for this Machine Learning Scientist position?

A strong candidate is excited about the Altos mission, experienced in designing, developing, and evaluating state-of-the-art foundation models at scale using multimodal biological data, with strong theoretical insights, research skills, and coding experience in AI frameworks.

Altos Labs

Biotechnology focused on cell rejuvenation research

About Altos Labs

Altos Labs specializes in biotechnology with a focus on cell rejuvenation, aiming to restore cell health and resilience to reverse diseases and injuries. Their approach involves cellular rejuvenation programming, which enhances cells' ability to resist stressors that can lead to illness. Unlike competitors, Altos Labs emphasizes research and collaboration with other institutions to develop effective treatments. The company's goal is to improve patients' quality of life through breakthrough therapies.

Los Altos, CaliforniaHeadquarters

2021Year Founded

$3,180.8MTotal Funding

EARLY_VCCompany Stage

Biotechnology, HealthcareIndustries

501-1,000Employees

Risks

Ethical concerns about lifespan extension may lead to regulatory challenges.

Intensifying competition in the biotechnology sector could dilute market share.

High expectations from financial backers may pressure the company to deliver quickly.

Differentiation

Altos Labs focuses on cellular rejuvenation to reverse diseases and improve health.

The company integrates computational biology and CRISPR technology for innovative solutions.

Altos Labs collaborates with leading scientists, including Nobel laureate Jennifer Doudna.

Upsides

Significant funding of $270 million supports Altos Labs' research and development efforts.

The economic potential of increased life expectancy is recognized as a major opportunity.

Collaborations with tech industry veterans accelerate innovation and commercialization.

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