Software Engineer, EvolutionaryScale
Data Infrastructure
Frontier AI models for biology
Open for applications
Frontier AI models for biology
1-20 employees
Open for applications
1-20 employees
Company mission
To develop artificial intelligence to understand biology for the benefit of human health and society.
Role
Who you are
- Staff level engineers with 5+ years experience highly preferred
- Proven experience with large-scale data processing systems using technologies such as Hadoop, Spark, or Ray
- Knowledge of streaming data frameworks like Kafka Streams, Spark Streaming, or Flink
- Understanding of data processing principles and best practices
- Strong problem-solving skills, including the ability to research, debug, and resolve complex technical problems
- Experience with major cloud providers (AWS, GCP, or Azure), including familiarity with data warehousing tools is a plus
- Knowledge of biology and biology datasets is a big plus but not required
- Experience with large scale distributed systems or machine learning is also not required but a plus
What the job involves
- As a Data Infrastructure Engineer, you will work closely with bioinformatics and research teams to ensure our data jobs are reliable, efficient, and scalable
- You'll implement best practices for handling large-scale data processing, select and integrate the right technologies, and drive continuous improvements in performance and quality of our data sets
- Design, develop, and maintain large-scale batch processing pipelines using tools like Spark and Ray, for acquiring biology datasets
- Manage data infrastructure components to ensure robust and fault-tolerant operations
- Optimize data ingestion, storage, and retrieval processes for acquiring large and growing biology datasets, and for efficient pre and post training data ingestion
- Create systems for easy and reproducible data evaluation and experiments
- Integrate modern ML based data curation technologies with data processing pipelines
- Work with researchers and other engineering teams to understand data needs, create solutions that meet modeling requirements
Our take
EvolutionaryScale, an AI startup pioneering the 'ChatGPT moment for biology', is at the forefront of transforming the field with its ground-breaking technology. Backed by Amazon Web Services and NVIDIA's venture capital arm, the company aims to revolutionize biology through artificial intelligence.
Central to EvolutionaryScale's mission is ESM3, the first large language model for creating novel proteins. It leverages a vast dataset of nearly 2.8 billion proteins, plus computational tools that analyze protein sequence, structure and function simultaneously. This can help accelerate drug discovery, as well as enable sustainable solutions through engineered microbes.
EvolutionaryScale's approach should help accelerate scientific breakthroughs and enhance precision in biotechnological applications. The company's success hinges on its ethical use of AI to tackle these challenges, by accelerating protein engineering beyond natural evolution so that it can be put to use against our greatest problems.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jun 2024
$142m
SEED
Total funding: $142m
Company HQ
Civic Center, New York, NY
Leadership
Alex Rives
(Co-Founder)Serial Entrepreneur having previously co-founded Kallyope, Syros Pharmaceuticals and Fate Therapeutics. Before founding Evolutionary Scale they worked as a Research Scientist at Facebook AI.
Tom Sercu
(Co-Founder)Previously an Engineering Manager at Meta. Before that they were a Research Engineer at IBM and a Research and Teaching Assistant at New York University.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 4 more jobs at EvolutionaryScale