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Member of Technical Staff - Software Engineering

Join Inductive Bio as a software engineer to build AI tools that accelerate drug discovery.

Location
New York City, San Francisco, or Boston
Compensation
Not disclosed
Level
staff
Type
full time

Posted by employer 5 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Inductive Bio → Save job Scanned from inductive.bio

Skills & Technologies

AI in the day-to-day

Our models have won the leading AI for drug discovery chemistry benchmark three times in a row.

Requirements

Experience
4+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Benefits

Equity/Stock Options Health Insurance

Joblaze summary

In this role, the software engineer will develop robust software solutions that enable scientists to leverage AI for drug discovery, focusing on model management and low-latency inference. Key skills include API design, data modeling, and cloud service deployment, with a strong emphasis on security and performance. This position is ideal for experienced engineers with a passion for science and a product-oriented mindset, particularly those who thrive in a dynamic startup environment. Inductive Bio fosters a collaborative culture, emphasizing the importance of team contributions to drive innovation.

Joblaze insights

Quick facts

How much experience is required?
At least 4 years of relevant experience for this Member of Technical Staff - Software Engineering role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Software Engineering.
What seniority level is this role?
Inductive Bio targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Member of Technical Staff - Software Engineering role at Inductive Bio.

From the original posting

The most important way that AI can benefit humanity is to accelerate scientific discovery. At Inductive, we are doing just that. Our models have won the leading AI for drug discovery chemistry benchmark three times in a row. Our in-house agentic AI platform is already deployed across dozens of drug programs and removing years from drug discovery timelines.

We are seeking curious and ambitious software engineers to join our interdisciplinary team of engineers, scientists, designers, and product specialists.

What you’ll do:

  • Build high-quality software that empowers scientists to use our AI agent and award-winning models to design better molecules.

  • Design and improve infrastructure for model management and low-latency inference, including security features, performance optimization, and system orchestration.

  • Build tools for AI-assisted chemical synthesis and automated wet-lab operations.

  • Own the full scope of large projects, working across design, infrastructure, backend, and frontend.

  • Contribute to internal platforms for improving agentic coding across the company.

  • Interact directly with internal and external scientists to design improvements to the platform.

  • Contribute to business and product decisions that will shape the future of the company.

Who you are:

  • 4+ years of industry experience solving difficult software engineering problems

  • Strong fundamentals in API design, data modeling, and application security, with experience operating, monitoring and deploying production services in the cloud

  • Outstanding written and oral communication skills

  • Product-oriented mindset and comfort with ambiguity

  • Interest in diving deep into the science of drug discovery and the business of a growing startup

Working at Inductive

At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

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