Inari

Inari

Staff Engineer, Machine Learning Life Sciences

Cambridge, MA, USA · Staff+ · Part-time

Sponsorship not specified$149k-$204kDetected 14 days ago
PythonCode ReviewDatabricksAWSDockerMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPyAirflowNLPAgentic AIMLOpsAI OrchestrationStatisticsValuationWordPressBioinformaticsCRISPRResearchCollaboration

About the role

  • We have 200 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.
  • While life science experience is not a requirement, you are comfortable - or willing to become comfortable - working alongside biologists and reasoning about biological data.

Requirements

  • MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Computational Biology, or related field (or BS with equivalent experience)
  • 6+ years of ML engineering experience with a demonstrated emphasis on production systems
  • Advanced scientific Python (NumPy, Pandas, scikit-learn) and hands-on experience with PyTorch and/or TensorFlow, including training and deploying neural networks
  • Experience with AWS (EC2, S3, SageMaker), containerization (Docker), experiment tracking (MLflow), and workflow orchestration (Airflow or equivalent)
  • Familiarity with biological data types (genomic, transcriptomic, proteomic), common file formats (FASTA, GFF, VCF, BAM), and sequence modeling methods applied to DNA/RNA/protein data
  • Experience with graph neural networks or network analysis tools (e.g., networkx) for modeling complex biological relationships (e.g., gene regulatory networks, protein-protein interaction networks)

Nice to have

  • Track record of owning solutions and deliverables end-to-end - setting direction, aligning stakeholders, and seeing work through to impact - while remaining a collaborative and engaged team member
  • Strongly Preferred

Compensation

  • The salary range for this position is $148,530 - 204,250.
  • Consistent with our commitment to pay transparency, salary range information is being disclosed.

Benefits

  • Whether you are full-time or part-time, Inari provide three different components of pay - base, short-term incentive, and long-term equity along with a one-time new hire stock option grant.
  • In addition, Inari offers a 401k plan with a company matching and a flexible paid time off policy. ​
  • https://www.bloomberg.com/news/articles/2025-01-07/agtech-startup-inari-raises-equity-at-2-17-billion-valuation
  • 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.

Company info

  • https://inari.com/inari-repeats-as-agtech-company-of-the-year/
  • About Inari: https://inari.com/about-us/
  • Multiplex Gene Editing - The Key to Unlocking the Full Potential of Seed: https://inari.com/multiplex-gene-editing-matters-for-the-population-the-planet-and-the-people-who-grow-our-food/
  • The Promise of AI in Plant Breeding: https://inari.com/the-promise-of-ai-in-plant-breeding-2/
  • Unseen Upside Podcast: AI & Agriculture - Data-Driven Fields, Resilient Futures: https://www.cambridgeassociates.com/podcasts/agriculture/
  • AgTech Breakthrough AgTech Company of the Year: https://inari.com/inari-repeats-as-agtech-company-of-the-year/
  • Bloomberg: Inari AgTech Startup: https://www.bloomberg.com/news/articles/2025-01-07/agtech-startup-inari-raises-equity-at-2-17-billion-valuation
  • BBC: Disaster-Proofing Crops: https://inari.com/bbc-news-how-crops-are-being-disaster-proofed/
  • Reuters: Gene Editing Wheat: https://www.reuters.com/markets/commodities/australian-trial-gene-edited-wheat-aims-10-bigger-yields-2024-05-23/#:~:text=CANBERRA%2C%20May%2023%20(Reuters),and%20make%20farming%20more%20sustainable
  • Inari at Databricks Data + AI Summit: https://www.youtube.com/watch?v=pJG-r3ob-n0
  • FOR U.S. CANDIDATES: Please note that we use the resume you submit with your application during our background check process.
  • Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position.

Equal opportunity

  • Inari is an equal opportunity employer.
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