Cambridge, Massachusetts, United States · On-site
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 te…
Skills: Machine Learning Engineering, Production ML Pipelines, Python, PyTorch, TensorFlow
Pittsfield, Massachusetts, United States · On-site
$95k–$106k/yr
Basic Qualifications Requires a Bachelor’s degree in Mechanical Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 5+ years of job-related experience, or a Master's degree plus…
Skills: Java, JavaFX, CSS, Linux, Windows
Chelmsford, Massachusetts, United States · Hybrid
$31/hr–$40/hr
Acute Care Technology At ZOLL, we're passionate about improving patient outcomes and helping save lives. We provide innovative technologies that make a meaningful difference in people's lives. Our medical devices, softwa…
Skills: Technical Support, Data Entry, SQL, Windows Operating Systems, Networking
Somerville, Massachusetts, United States · Hybrid
$180k–$235k/yr
Come join oneZero Financial Systems! An exciting, fast-growing company with Headquarters in Somerville, MA. oneZero empowers banks, brokerages and hedge funds with cutting edge trade routing and execution technology. Our…
Skills: Contract Negotiation, Commercial Drafting, Legal Risk Management, Compliance, Corporate Governance
Boston, Massachusetts, United States · On-site
$80k–$140k/yr
Who we are looking for We are looking for a Data and AI Program Manager reporting directly to global Data and AI Chief of Staff. You will serve as an enterprise leader for Data and AI, overseeing the planning, execution,…
Skills: Enterprise Program Management, Executive Communication, Stakeholder Management, Risk Management, Budget Management
Boston, Massachusetts, United States · On-site
$80k–$140k/yr
Who we are looking for We are looking for a Data and AI Program Manager reporting directly to global Data and AI Chief of Staff. You will serve as an enterprise leader for Data and AI, overseeing the planning, execution,…
Skills: Enterprise Program Management, Executive Communication, Stakeholder Management, Risk Management, Budget Management
Hanscom AFB, Massachusetts, United States · On-site
$150k–$165k/yr
Torch Technologies Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered …
Skills: Program Management, Acquisition Strategy, Risk Management, Earned Value Management, Integrated Master Schedule
Boston, Massachusetts, United States · On-site
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Program Manager – Investment Management What you will be responsible for As a IM COO Program Manager you will: Be the primary face-off with the COO Investment Management Product, Platform and Services pillars and the IM …
Skills: Project Management, Program Governance, Stakeholder Management, Financial Product Knowledge, Resource Planning
Boston, Massachusetts, United States · Hybrid
$79k–$138k/yr
About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, s…
Skills: Predictive Modeling, Machine Learning, Statistical Programming, Data Visualization, Linear Algebra
Boston, Massachusetts, United States · Hybrid
Principal AI Scientist and Lead Location: Hybrid- Boston (2 days a week in our Boston Office) Status: Permanent Package: Competitive Salary, Remote/Home Working (with one-off allowance), Flexible Working, (2 Days in the …
Skills: Agentic AI Systems, LLMs, RAG Architectures, Vector Databases, Python
Danvers, Massachusetts, United States · On-site
$65k–$80k/yr
Accelion is a Great Place to Work® Certified company! WHAT WE OFFER: First year expected total compensation between $65,000 and $80,000, including guaranteed base ($50,000) and unlimited incentives Flexible full-time wor…
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San Francisco, California, United States · On-site
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Somerville, Massachusetts, United States · On-site
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Come join oneZero Financial Systems! An exciting, fast-growing company with Headquarters in Somerville, MA. oneZero empowers banks, brokerages and hedge funds with cutting edge trade routing and execution technology. Our…
Skills: Linux System Administration, Networking Troubleshooting, Monitoring and Observability Tools, Python, Bash
Boston, Massachusetts, United States · Remote OK
Securonix is leading the transformation of cybersecurity by helping organizations stay ahead of modern threats. Security teams are no longer constrained by data or tools. They are constrained by speed, clarity, and confi…
Skills: Closing Experience, Enterprise Cybersecurity Sales, SIEM, Prospecting, Pipeline Management
Jacksonville, Florida, United States · Hybrid
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As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare …
Skills: PowerShell, Python, Bash, Azure DevOps, Jenkins
Marlborough, Massachusetts, United States · On-site
$108k–$205k/yr
Date Posted: 2026-07-06 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 ~ 1001 Boston Post Rd ~ BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The abili…
Skills: Software Quality Engineering, Agile, DevSecOps, CI/CD, Requirements Traceability
Boston, Massachusetts, United States · Hybrid
$72k–$92k/yr
Boston University Virtual (BUV) is a unit at Boston University focused on the creation of high-quality online degree and certificate programs. Reporting to the Assistant Vice President, Digital Architecture and Technolog…
Skills: Educational Technology, Instructional Design, Project Management, Content Management Systems, Learning Management Systems
Massachusetts, United States · Remote OK
Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. Section…
Skills: C#, Java, JavaScript, MS-SQL Server, Sybase
Mountain View, California, United States · On-site
$148k–$220k/yr
Amazon Connect Decisions (ACD) is AWS's decision intelligence service that helps enterprises optimize complex planning and operational decisions using Agentic frameworks. Initially anchored in supply chain planning (dema…
Skills: Business Development, Go-To-Market Strategy, Partner Ecosystem Management, Enterprise Sales, Supply Chain Planning
North Reading, Massachusetts, United States · On-site
$86k–$129k/yr
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon R…
Skills: Supply Chain Management, Global Supplier Management, Cost Optimization, Strategic Sourcing, Capacity Planning
Cambridge, Massachusetts, United States • On-site
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Build, deploy, and maintain production-ready ML pipelines and infrastructure to serve predictions at scale within a life sciences context. Collaborate with cross-functional teams of biologists and engineers to integrate biological data and drive research-critical modeling programs.
Requires an MS or PhD in a quantitative field (or BS with equivalent experience) and 6+ years of ML engineering experience focusing on production systems. Proficiency in scientific Python, deep learning frameworks, and AWS/MLOps tools is essential.
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 seeds 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.
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. 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!
Inari is seeking a Staff Machine Learning Engineer to join our AI Team in support of our mission of transforming agriculture through predictive design and advanced gene editing. This role will focus on delivering production-ready ML pipelines using existing models while also exploring new modeling approaches to advance our ability to drive step-change trait improvement in crops.
In this role, you will bring established best practices for building, deploying, and maintaining ML systems, and effectively apply that expertise in a life sciences context. While life science experience is not a requirement, you are comfortable — or willing to become comfortable — working alongside biologists and reasoning about biological data.
As a staff-level individual contributor, you will drive major workstreams with autonomy while collaborating closely with cross-functional teams of computational biologists, software engineers, and crop scientists.
This role is based in our Cambridge, MA office and follows our flexible hybrid work model, with time on a weekly basis split between in-office and remote work.
Build, deploy, and maintain production ML pipelines and infrastructure to serve predictions at scale, including model versioning, monitoring, and lifecycle management
Integrate ML systems with genomic, phenotypic, and biological data platforms using AWS and containerization technologies
Partner with computational and experimental biologists to contextualize heterogeneous biological data and drive research-critical modeling programs
Train and validate statistical and ML models; prototype new approaches and evaluate feasibility for production deployment
Implement integrations with strategic third-party tools, foundation models, and AI agents; stay current with ML research to identify applicable methods
Drive major workstreams autonomously while collaborating effectively with teammates and cross-functional stakeholders
Communicate technical results clearly across disciplines and contribute to technical decisions, code reviews, and engineering standards
Required
Education & experience: 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
Production ML: Proven ability to deploy, maintain, and monitor ML models and pipelines at scale
Python & frameworks: Advanced scientific Python (NumPy, Pandas, scikit-learn) and hands-on experience with PyTorch and/or TensorFlow, including training and deploying neural networks
Cloud & MLOps: Experience with AWS (EC2, S3, SageMaker), containerization (Docker), experiment tracking (MLflow), and workflow orchestration (Airflow or equivalent)
Cross-disciplinary collaboration: Comfortable interfacing with biologists and life scientists, translating between biological and ML framings, and communicating technical results to diverse audiences
Ownership & drive: 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
Life sciences & bioinformatics: 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
ML for biology: Awareness of current research in applying deep learning to biological sequences (e.g., genomic transformers, protein language models)
Network analysis: 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)
Inari pays competitively and rewards results.
The salary range for this position is $148,530 - 204,250. 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. That's rare!
We also offer a comprehensive benefits package including both a Preferred Provider Network (PPO) and High Deductible Health Plan (HDHP) with a company-funded health savings account (HSA), vision, dental, and several flexible spending accounts (FSA), a host of voluntary benefits, and a robust wellness program. In addition, Inari offers a 401k plan with a company matching and a flexible paid time off policy.
Consistent with our commitment to pay transparency, salary range information is being disclosed. Please note that offers are based on the candidate's qualifications & experience as well as market demand.
Inari is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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
Job Applicant Privacy Notice: https://inari.com/wp-content/uploads/2024/09/Job-Applicant-Privacy-Notice.pdf
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.
We are the SEEDesign™ company. Designing plants that grow smarter by unlocking the full potential of seeds.
Inari is at the forefront of the next revolution in agriculture. Powered by the latest innovations in AI and gene editing technology, we bring unprecedented speed and precision to plant breeding to help create a more resilient and abundant future. We were born from a simple question: What if we can revolutionize agriculture by applying the breakthroughs already transforming human health to seeds? Today, our AI-enabled SEEDesign™ Platform is the industry’s most sophisticated performance accelerator, integrating the latest advances in genomics, artificial intelligence, and gene editing to accelerate breeding. By delivering high-impact, high-value solutions that push broadacre crops forward, Inari is working to create tangible new value for farmers while enhancing food security and helping to protect natural resources.
Offices: 1 Kendall Square, Building 600/700, Suite 7-501, Cambridge, Massachusetts 02139, US
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