---
title: 'Senior Perception Engineer at AgZen'
canonical: 'https://feeny.ai/job/senior-perception-engineer-agzen-somerville-gp8gp7e9d81g'
type: 'job'
last_seen: '2026-10-23'
---

# Senior Perception Engineer at AgZen

- **Company:** AgZen
- **Location:** Somerville, MA
- **Employment:** full-time
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-10-23
- **Apply:** https://jobs.ashbyhq.com/agzen/b9e4da75-46d7-48c5-ba7f-ef26f284d863

## Job description

About AgZen: AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT research and focused on one problem: making crop spraying more efficient. Our flagship product, RealCoverage, is the world's first system that measures and controls droplet coverage at the leaf level, giving growers real-time visibility into spray performance and cutting chemical and water use by up to 50% without sacrificing yield. We are a small, technically deep team working at the intersection of fluid mechanics, computer vision, AI, and real agricultural environments. If you want to build technology with measurable impact on how the world grows food, this is the place to do it.

About the Role: As a Senior Perception Engineer, you will be a key contributor to AgZen’s sensing and software portfolio. This role is at the intersection of agrochemical spraying, machine learning, and computer vision, where you will own and develop the perception platform that helps growers make spraying more efficient. This role will be an essential component of AgZen’s measurement focus group. Strong communication, flexibility, teamwork, the desire to take on different responsibilities and own them will all be essential skills for a successful applicant.

📍This role is located in Somerville, MA (Boston area) with work required to be in-person. What You’ll Do:

- Develop advanced computer vision models that support real-time detection and decision-making in AgZen’s spraying systems.
- Implement deep-learning models for tasks including object segmentation, classification, optical flow, and 3D reconstruction.
- Architect and build new end-to-end models, potentially merging existing networks for improved performance.
- Employ techniques like quantization to enable power-efficient model execution on edge devices.
- Develop innovative methods to improve model accuracy and inference speed in edge deployment scenarios.
- Collaborate with the software engineering team to architect and develop data processing and annotation pipelines for continuous system improvement.
- Collaborate closely with hardware, firmware, and product teams to ensure vision models integrate seamlessly with system components.
- Analyze field performance to identify root causes of model behavior, propose improvements, and validate updates through experimentation.
- Establish best practices for versioning, testing, deployment, and continuous improvement of computer vision models.
- Communicate progress, risks, and recommendations to engineering and product leadership in a clear and structured manner.
- Stay at the forefront of AI research by exploring and applying advancements in CNNs, transformers, and model quantization.

## What We're Looking For

Required:

- Bachelor’s or graduate degree in Computer Science, Electrical Engineering, or a closely related field
- 5+ years of experience in solving problems in computer vision/perception with a foundation in deep learning and ML
- Experience working with real-time or edge-based inference and integrating models with hardware or embedded systems.
- Demonstrated ability to design experiments, analyze results, and iterate quickly based on field and product requirements.
- Deep experience training and validating computer vision models (e.g., object detection, segmentation, and classification) for robust performance in real-world environments.
- Proven ability to architect end-to-end computer vision pipelines, strategically decomposing complex problems across multiple models and stages.
- Expertise in MLOps best practices and tooling (e.g., MLFlow, W&B, or similar experiment tracking and deployment frameworks) for managing the entire model lifecycle from research to production at scale.
- Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods
- Advanced scientific Python (NumPy, Pandas, scikit-learn) and hands-on experience with deep learning frameworks including PyTorch and/or TensorFlow
- Adept with the latest research in perception and machine learning, demonstrated by activity in the research community (e.g., reading conference papers, publications).
- Experience operating end‑to‑end data or ML pipelines for reliability, scale, and observability
- Clear communication skills and the ability to work effectively with cross-functional teams in a fast-moving environment.

Preferred:

- Master’s/PhD degree or equivalent experience in Computer Science, Robotics, or a related field.
- Experience with the field of agriculture or related fields such as environmental or life sciences
- Robust SQL skills and comfort digging into data distributions, feature health, and model behavior
- Experience with data science based on real-world physical sensors data
- Experience creating intuitive data visualization tools that make complex data approachable for non-technical users
- Prior experience in developing machine-learning models relevant to biological or crop protection outcomes
- Familiarity with embedded systems and optimizing models for edge devices.

## What We Offer

- The opportunity to make an immediate and visible impact in a fast-growing company
- Early-employee equity
- 401(k) with employer matching at 6 months of employment
- 6 weeks of PTO per calendar year
- 12 paid holidays
- Medical, Dental and Vision insurance

The salary range for this position is $150,000 - $200,000 depending on skills and qualifications evaluated on a per candidate basis.

## About AgZen

## Company Overview
- **One-liner**: AgZen develops a real-time, AI-powered smart spraying system that enables farmers to cut chemical and water use by 30‑50% while maintaining or improving crop yields.
- **Entity Type**: Private (Series B)
- **Headquarters**: Somerville, Massachusetts, United States
- **Founded**: 2022 (as a company; research roots date to 2020) [builtin.com](https://builtin.com/company/agzen)
- **Founders**: Vishnu Jayaprakash (CEO), Kripa Varanasi (Chairman, MIT Professor), Maher Damak (Co-Founder & Co-Inventor) [agzen.com](https://www.agzen.com/agzen-aboutus)

## Core Business
- **Primary industry**: Precision agriculture / AgTech
- **Target customers**: Growers (farmers), ag equipment companies, agribusinesses (e.g., Corteva, Syngenta) – primarily B2B with a direct leasing/purchase model
- **Mission**: “Empower growers with the tools to navigate agriculture’s ever-changing landscape… ensuring efficiency, profitability, and accessibility in farming’s future.” [agzen.com](https://www.agzen.com/agzen-aboutus)

## Products & Services
- **RealCoverage®**: A bolt‑on hardware + software system that uses onboard AI, computer vision, and fluid dynamics to monitor and optimize droplet coverage in real time. It adjusts speed, droplet size, boom height, and other parameters on‑the‑fly, enabling growers to use 30‑50% less chemicals and water while achieving better pest control. [agzen.com](https://www.agzen.com/agzen-whatwedo)

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric** – Total Funding: **$20M** (Series A – $10M led by DCVC Bio, April 2025; Series B – $10M led by DCVC Bio with participation from Material Impact and Astanor, 2025–2026) [agfundernews.com](https://agfundernews.com) (via search results)
- **Notable Investors/Partners**: DCVC Bio (lead), Material Impact, Astanor, Syngenta Group Ventures (strategic investment), Corteva (R&D agreement) [agzen.com](https://www.agzen.com/agzen-aboutus)
- **Growth Signals**: 
  - Acreage deployed with RealCoverage grew 15× in 2025, reaching nearly **1 million commercial acres** in the U.S.
  - For 2026, commitments exceed **2 million acres** across three continents.
  - Headcount grew **58% YoY** to **35 employees** (as of mid‑2026). [linkedin.com](https://www.linkedin.com/company/agzen)
  - Partnerships with major ag companies Corteva and Syngenta.

## Competitive Advantages
- **Real‑time feedback loop**: The only system that measures droplet coverage on every leaf while spraying, instantly adjusting parameters – a capability that has eluded the industry for decades.
- **Bolt‑on design**: Works with any existing sprayer (any generation, any brand), lowering adoption barriers.
- **Proven ROI**: Trials across 12 locations showed 30‑50% reduction in chemical use without yield loss, offering immediate payback for growers.
- **Deep IP**: Founded out of MIT, with patents covering fluid mechanics, interfacial physics, and AI‑driven spray optimization.

## Strategic Focus
- **Scale globally**: Expand from 1M acres (2025) to 2M+ acres in 2026 across North America, South America, and Europe.
- **Deepen partnerships**: Leverage agreements with Corteva and Syngenta to co‑develop and co‑market solutions.
- **Talent growth**: Continue hiring across engineering, field operations, and product management to support rapid commercial expansion.

## Why Work Here
- **Culture**: Mission‑driven team tackling agriculture’s waste and pollution problems. Multidisciplinary (engineers, ag scientists, former farmers). Small, collaborative environment with a flat structure.
- **Work setup**: On‑site at Greentown Labs in Somerville, MA (a clean‑tech incubator). Some flexibility for remote work, but most employees are expected in the office most days.
- **Perks & Benefits**:
  - Company equity grants
  - 401(k) matching
  - Generous PTO and flexible time‑off policy
  - Comprehensive health, dental, and vision insurance
  - Fast‑growing startup (35 employees, 58% YoY growth) with significant career advancement opportunities. [builtin.com](https://builtin.com/company/agzen)

## Sources
1. [agzen.com](https://www.agzen.com/) – Company overview, product, team
2. [agzen.com – What We Do](https://www.agzen.com/agzen-whatwedo) – Product details and trial results
3. [agzen.com – About Us](https://www.agzen.com/agzen-aboutus) – Mission, team, funding, partnerships
4. [builtin.com](https://builtin.com/company/agzen) – Culture, perks, headcount, founding year
5. [linkedin.com](https://www.linkedin.com/company/agzen) – Employee count, funding, locations, growth stats
6. AgFunder News (via search results) – Series A and Series B funding details, commercialization updates

## Other roles at AgZen

- [Software Engineering Co-op](https://feeny.ai/job/software-engineering-co-op-agzen-somerville-9q5qa74cj685) — Somerville, MA
- [Research & Development Engineering Co-op](https://feeny.ai/job/research-development-engineering-co-op-agzen-somerville-41bnmceksq9w) — Somerville, MA
- [Product Specialist](https://feeny.ai/job/product-specialist-agzen-remote-jy0azs0zr9zf)
- [Field Engineer](https://feeny.ai/job/field-engineer-agzen-west-lafayette-rjakn1wdr7t8) — West Lafayette, IN
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