About Inari...
Inari is the SEEDesign™ company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.
Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.
We have over 270 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We’ve deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!
About the role...
The Inari Software Engineering team is looking for a Data Platform Engineer. Our team is looking to grow our cloud-native data and machine learning platform enabling Inari to drive major advances at the intersection of breeding, gene editing, and agronomy. You will work closely with data scientists, bioinformaticians, quantitative geneticists, and crop scientists.
As a member of our machine learning engineering team, you will be responsible for developing and maintaining the platform that supports predictive design across all of Inari: from exploration to production inferences, supporting our data scientists across science and product teams. Inari is a late-stage biotech startup on a mission to transform the food system and create a more sustainable future. We are using predictive design and advanced multiplex gene editing to unlock the full potential of seeds. Inari was named a Technology Pioneer by the World Economic Forum and our Inari Engineering team is featured in the top 16 Engineering teams in the tech industry. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!
Location: Cambridge, MA or West Lafayette, IN
What you’ll do
- Experience working and supporting data platforms such as databricks, EMR, or similar platforms.
- Lead and orchestrate the enforcement of data governance and management strategy across Inari’s Cloud Data Platform.
- Strong understanding of AWS and deploying systems and services to public cloud
environments with experience working in multi-account environments. - Experience with Batch Orchestration such as airflow or similar.
- Work with a team of software engineers and data engineers supporting tools to enable machine learning
and data science. - Experience with terraform or other IAC in multiple production environments
- Strategize with project and team leads from our science and product teams to support
efforts that are fundamentally changing how we grow food. - Set standards on how to run a variety of workflows for machine learning and
accelerated computing on the cloud and provide input on best practices for data
intensive workloads. - Work with analysts, data scientists, bioinformaticians to understand the various use
cases and support pipelines and processes that help support iterative analyses. - Develop and productize applications that integrate with and extend our breeding,
phenotyping, and genomic data. - Develop robust integrations with strategic third party tools, platforms and models
- Contribute to design and overall engineering roadmap
- Work with genomics and phenotypic data and an interest in helping organizations
manage, clean, and access it in accelerated computing applications
You bring:
- Bachelors in Computer Science, Mathematics, Biotechnology, Electrical Engineering or
related STEM fields. - 4+ years of software engineering experience supporting scientists doing heavy data
- A strong commitment to our team’s values: learn from every decision, no
heroes/heroines, thoughtful inclusion, and fail fast. - A passion for CI/CD and containerization technology.
- Ability to work in a fast-paced, cross functional environment in a self directed fashion
- Active interest in learning new technology or domains. We are an organization that
goes across many disciplines. - Desire to work in a mission driven organization focused on sustainability and how we
grow food
Bonus points:
- Experience working with agtech or biotech.
Experience working with computational scientists and understanding their
diverse needs. - Have worked with ML platforms such as sagemaker, arrikto, or MLflow before.
What Inari offers:
- Competitive salary
- Annual bonus
- Stock options
- Health insurance
- Meal vouchers
- Free public transportation
FOR U.S. CANDIDATES: Please note that we use the resume you submit with your application during our background check process. To ensure an efficient and accurate background verification, we kindly ask that you carefully review and accurately represent your work history, education and other relevant information on your resume. Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position.
Jobs from our Partners
Software Development Engineer II
Software Engineer I (Cloud, Web, API, AWS)
Sr Principal Digital Signal Processing (DSP) Firmware Engineer
Cloud Engineer
System Integration and Test Engineer
Senior Software Engineer - C++ / Python
Similar Jobs
Senior Software Engineer (Backend) - AI Infra
Director, Software Engineering (multiple positions available)
Machine Learning Model Engineer - VD
Samsung Ads - Machine Learning Model Engineer, Mobile
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
50,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 251 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
Cancel anytime / Money-back guarantee