---
title: 'Senior Computer Vision & Machine Learning Engineer at Buzz Solutions'
canonical: 'https://feeny.ai/job/senior-computer-vision-machine-learning-engineer-buzz-solutions-united-states-5hsjret4zgj9'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Computer Vision & Machine Learning Engineer at Buzz Solutions

- **Company:** Buzz Solutions
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-13
- **Apply:** https://job-boards.greenhouse.io/buzzsolutions/jobs/5409974008

## Job description

Job Description

Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through our advanced AI solutions. Our computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network.

We're looking for a Machine Learning Engineer to advance our computer vision initiatives and help build our foundational model capabilities. You'll bridge the gap between cutting-edge research and production systems, reading papers, adapting novel algorithms, and turning them into reliable, deployed models for power grid analysis. You'll work within a team of experienced ML engineers, with the autonomy to drive your own projects and the support to keep growing. You'll operate with a high degree of autonomy.

## Responsibilities

Project delivery

- Own and deliver end-to-end computer vision projects focused on:
- Equipment defect detection
- Thermal anomaly identification
- Vegetation encroachment monitoring
- Surveillance of closed areas for human and animal intrusion
- Scope, plan, and execute your own projects from problem framing through production deployment and monitoring.
- Deliver on client projects, translating client requirements and raw data into working computer vision solutions.
- Contribute to shared team projects, coordinating with other engineers to deliver against common milestones.

Research and experimentation

- Stay current with ML/CV research, identify promising methods, and evaluate their applicability to our domain.
- Adapt and implement algorithms from papers, validating against baselines and benchmarking for production viability.
- Bring the latest advances in deep learning and generative AI to bear on model training, accuracy, and reliability.
- Design and execute experiments with systematic hyperparameter tuning, ablation studies, and appropriate baselines.
- Perform structured error analysis: categorize failure modes (false positives, missed detections, localization errors, misclassifications) and break down performance by data slices (object size, occlusion, image quality).
- Select and justify model architectures based on task requirements, latency, and accuracy tradeoffs.

Engineering and production

- Develop production-grade Python libraries for the complete ML lifecycle.
- Design and implement data pipelines including ingestion, preprocessing, annotation workflows, and quality monitoring.
- Own experiment tracking and model versioning: configurations, random seeds, dataset versions, environment specs, and model checkpoints.
- Build model serving pipelines that meet latency and throughput requirements.
- Conduct thorough code reviews and write integration tests for ML pipelines.

Collaboration and craft

- Share knowledge with teammates and contribute to best practices for model development, evaluation, deployment, and monitoring.
- Advocate for and uphold software quality standards within the ML team.
- Communicate research findings, technical decisions, and model limitations clearly to stakeholders and clients.

## Qualifications & Experience

- 5–10 years of industry experience in computer vision and machine learning.
- Deep expertise in modern computer vision and deep neural networks, including:
- Object detection
- Semantic segmentation
- Image classification
- Vision transformers and foundation models
- Vision language models
- Similarity search
- Proven track record of deploying and maintaining ML models in production.
- Experience selecting, fine-tuning, and adapting model architectures (CNNs, transformers, foundation models) for specific use cases.
- Demonstrated ability to read ML research papers, extract the key ideas, and implement them.
- Ability to debug training instabilities and conduct systematic error analysis.
- Proficiency in Python and the core ML stack:
- PyTorch and Lightning
- OpenCV
- NumPy and pandas
- Scikit-Learn
- FastAPI and Pydantic
- Strong software engineering practices, including:
- Git version control
- Unit and integration testing (Pytest)
- CI/CD pipelines (GitHub Actions)
- Docker and reproducible environments
- Experiment tracking and model versioning
- ML DevOps
- Python type hinting
- Proven ability to own technical projects independently, from problem framing through production deployment.

Desired Additional Experience

- Multi-modal computer vision
- Custom object detection model development
- Generative models for data augmentation
- ML deployment on edge devices
- Extracting measurements from GIS and/or drone metadata enriched imagery
- Model quantization
- Systematic hyperparameter tuning

Additional information:

- This position does not include sponsorship for United States work authorization.

## About Buzz Solutions

## Company Overview
- **One-liner**: Buzz Solutions provides an AI-powered platform that analyzes aerial imagery from drones, helicopters, and ground crews to detect faults and anomalies on transmission, distribution, substation, and solar infrastructure, helping utilities prevent outages and wildfires.
- **Entity Type**: Private (venture-backed; total funding $9.5M across 5 rounds, most recent $5M in February 2024)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2017
- **Founders**: Kaitlyn Albertoli (CEO & Co-Founder) and Vikhyat Chaudhry (COO & CTO, Co-Founder)

## Core Business
- **Primary industry**: Utilities / Energy infrastructure inspection
- **Target customers**: B2B – electric utilities (transmission, distribution, substation operators, solar farm owners), large power companies
- **Mission statement**: “To safeguard the world’s energy infrastructure” – proactively identifying and fixing hazards before they cause wildfires, forced shutdowns, or power outages.

## Products & Services
- **PowerAI (Platform)**: A SaaS platform that ingests visual data (helicopter, drone, lineman-captured images) and applies computer vision to detect component defects, vegetation risks, and anomalies. Modules cover Distribution, Transmission, Substations, and Solar. Capabilities include thermal + RGB analysis, GIS mapping, and integration with Esri, Maximo, and Skydio.
- **PowerAI Video Analytics (Substation Security)**: AI-based live monitoring of existing CCTV feeds for intrusion, person-down, smoke/fire, insulator defects, and thermal alerts – runs 24/7 with no new cameras needed.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Annual revenue of $3.8M (LinkedIn estimate); Total funding $9.5M
- **Notable Investors/Partners**: Investors include GoPoint Ventures (led $5M round), Blackhorn Ventures. Partners include Esri (Silver Partner), Skydio, Maximo.
- **Growth Signals**:
  - 40 employees (+22% YoY headcount growth)
  - Customers: Dominion Energy (47,000 structures analyzed), New York Power Authority, AEP Texas (88,000 images cleared in one season), Ameren (scaling solar from 510 MW to 2,500 MW by 2030)
  - PowerAI 2.0 launched in January 2025
  - 85%+ detection accuracy in field, processing speed of 0.6 seconds per image vs. 1–2 minutes manually

## Competitive Advantages
- **Domain-specific AI**: Trained on utility infrastructure data, mimicking veteran lineworker expertise – reads insulator types, paint conditions, hardware anomalies.
- **Speed & Scale**: Processes tens of thousands of images in hours, reducing analysis time by up to 70%.
- **Proven ROI**: Case studies show 6 months saved on wildfire mitigation programs, 4.9× faster site inspections, >75% time savings per site.
- **Integration ecosystem**: Works natively with Esri GIS, Maximo asset management, and Skydio drone fleet.

## Strategic Focus
- Accelerate adoption of AI-based inspections across more utilities (transmission, distribution, substations, solar).
- Expand substation security monitoring with live video analytics.
- Scale solar inspection capabilities in line with utility renewable targets.
- Continue building out partner network (Esri, ARCOS) and product integrations.

## Why Work Here
- **Mission-driven**: Work that directly prevents wildfires, outages, and grid failures – tangible environmental and safety impact.
- **Remote-first**: All open roles are remote (US-based, with some roles open to remote globally).
- **Engineering culture**: Building end-to-end ML products and pipelines; roles include Computer Vision & ML Engineer, Applied ML Platform Engineer, Senior Full Stack Engineer, QA Engineer.
- **Startup growth**: Venture-funded with proven traction; headcount growing 22% YoY; 11 active job postings as of mid-2025.
- **Team**: Talented, passionate, hardworking engineers and product managers; collaborative environment with opportunities to own significant pieces of the platform.

## Sources
1. [buzzsolutions.co](https://www.buzzsolutions.co/) – Product overview, customer case studies, performance metrics
2. [buzzsolutions.co/about](https://www.buzzsolutions.co/about/) – Mission, founding story, team
3. [buzzsolutions.co/careers](https://www.buzzsolutions.co/careers/) – Open roles, culture description
4. [job-boards.greenhouse.io/buzzsolutions](http://job-boards.greenhouse.io/buzzsolutions) – Current job listings (11 roles)
5. [linkedin.com/company/buzzsolutionsinc](https://www.linkedin.com/company/buzzsolutionsinc.) – Employee count, revenue, funding, headcount growth, locations

## Other roles at Buzz Solutions

- [Senior Account Executive (West)](https://feeny.ai/job/senior-account-executive-west-buzz-solutions-remote-ngkkasx5rk2e)
- [Computer Vision & Machine Learning Engineer](https://feeny.ai/job/computer-vision-machine-learning-engineer-buzz-solutions-united-states-s0zf0ne67pcv) — United States
- [Vice President of Marketing](https://feeny.ai/job/vice-president-of-marketing-buzz-solutions-united-states-xkvcygkdzr6p) — United States
- [General Application - Join our Talent Community](https://feeny.ai/job/general-application-join-our-talent-community-buzz-solutions-united-states-xzbdgycstr1c) — United States
- [Controller](https://feeny.ai/job/controller-buzz-solutions-united-states-75r74waq7zz3) — United States
- [VP of Engineering](https://feeny.ai/job/vp-of-engineering-buzz-solutions-remote-83abzytgvjq7)
- [Senior Account Executive (Southeast)](https://feeny.ai/job/senior-account-executive-southeast-buzz-solutions-remote-kd53gzwe6akg)
- [Business Development Representative](https://feeny.ai/job/business-development-representative-buzz-solutions-remote-k9b049ea0zhr)
- [Solutions Engineer (AI/ML)](https://feeny.ai/job/solutions-engineer-ai-ml-buzz-solutions-united-states-yk8r9bvg6y76) — United States
- [Senior Computer Vision & Machine Learning Engineer](https://feeny.ai/job/senior-computer-vision-machine-learning-engineer-allen-control-systems-austin-pwxtw78brc7p) — Austin, TX