Senior Software Engineer

3 weeks ago


San Francisco, United States Eon Systems PBC Full time

Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways.RoleThe data infrastructure engineer is responsible for the setup and maintenance of systems capable of handling large amounts of neuroscientific data. You will be collaborating closely with the human / animal brain data acquisition and AI engineering teams, building the interface between data-acquisition and our machine learning models.Responsibilities Develop and deploy highly scalable distributed systems capable of handling petabytes of data.Own and lead engineering projects in the area of data acquisition including initial web crawling and data ingestion from our experimentsEnsure smooth data flow and system operability.Architect and implement algorithms for data indexing and search capabilities.Work with the legal team to handle any compliance or data privacy-related matters.Build and maintain backend services for data storage, including work with key-value databases and synchronization.Deploy and perform routine system checks.Conduct and analyze experiments on data to provide insights into system performance.Skills 5+ years of industry experience in software development and exceptional ability.Experience with large web crawlersStrong expertise in large stateful distributed systems and data processing.Proficiency in containerized applications across multiple hosts, and Infrastructure-as-Code concepts.Demonstrated experience with distributed computing frameworks (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure).Strong understanding of database technologies (SQL and NoSQL), data warehousing, and ETL processes.Ideally experience with the different types of neuroscientific datasets.We expect everybody, independent of their role to bePracticing proactive, concise, and clear written communication.Exceptionally output driven and a well-calibrated, fast, autonomous, and diligent problem-solver.Excited about startup atmosphere - high initiative, agile, and a can-do attitude in a fast changing environment.Representative projects Crawl neuro datasets incl. metadata from >40 repositories and store them in an infrastructure accessible for training pipelines. Impute missing metadata via LLMs.Build quality assurance pipelines for said datasets that allow SMEs to judge their quality and later automate this process. Visualize key metrics in dashboards.Build APIs together with ML engineers for feeding (tokenized) brain data to training runs.Salary Competitive salaries, including equity, apply.#J-18808-Ljbffr

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