[Remote] Senior AI Infrastructure Engineer at TetraScience

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Life Sciences, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

AI InfrastructureMLOpsCloud-based infrastructureScalable AI/ML workflowsData infrastructureCloud-native infrastructureAI engineeringData engineeringPlatform engineering

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What is the salary for this role?

This information is not specified in the job description.

What are the key skills required for this Senior AI Infrastructure Engineer role?

Required skills include 7+ years in software and infrastructure engineering, extensive AI/ML infrastructure experience, strong AWS and IaC knowledge (ideally CDK), expert TypeScript and Python coding, production Databricks MLFlow experience, Docker expertise, and CI/CD hands-on experience.

What kind of team will I be working with?

You will collaborate closely with AI engineers, data engineers, and platform teams.

What makes a strong candidate for this position?

A strong candidate has 7+ years of experience, proven expertise in AI/ML infrastructure, AWS, Databricks MLFlow, Docker, and coding in TypeScript/Python, plus the ability to articulate ideas clearly and collaborate effectively.

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.

The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.

TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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