Alert Venture Foundry · 17 hours ago
Applied Machine Learning Engineer (ML/Robotics)
North Billerica, MA
Full-time
Onsite
Mid Level
3+ years expAlert Venture Foundry (AVF) is a robotics-focused startup studio inventing and launching real-world robotic systems. They are seeking an Applied Machine Learning Engineer to help build practical AI/ML capabilities that improve how robots perceive, understand, and operate in the real world.
Information Technology & Services
Responsibilities
Build data pipelines that transform raw robot data streams (images/video, telemetry, voice tags, operator inputs) into clean, structured datasets for training and evaluation
Design dataset schemas, sampling strategies, and train/validation/test splits to support repeatable experiments and model iteration
Develop and fine-tune computer vision models for tasks such as image classification and related perception capabilities
Support multimodal workflows where operator text or voice inputs can inform robot behavior and localization
Run experiments, track performance metrics, and perform error analysis to improve model reliability in real-world conditions
Integrate trained models into robotics software systems for real-time or near-real-time inference
Collaborate with autonomy, controls, embedded, and systems engineers to ensure ML outputs are usable, robust, and measurable
Contribute to testing and validation workflows to connect model performance in the lab with performance on real hardware
Develop MLOps framework to train, test and deploy models
Qualification
Required
3+ years of professional experience in machine learning, applied AI, or software engineering for data-driven systems, or equivalent academic and project experience
Strong Python skills and the ability to build maintainable software for data processing, training workflows, and system integration
Hands-on experience preparing datasets and training or fine-tuning ML models using common frameworks (e.g., PyTorch or TensorFlow)
Experience working with real-world sensor or image data, including data cleaning, labeling workflows, and evaluation methodology
Comfort working in Linux environments and using standard engineering tools (Git, cmake, debugging tools, scripting)
Ability to collaborate across disciplines and communicate clearly about model behavior, limitations, and failure modes
Experience developing Object tracking and Feature extraction algorithms like YOLO and Autoencoders
Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent practical experience
Preferred
Experience deploying ML models to edge hardware or real-time systems (e.g., ONNX, TensorRT, Jetson-class devices)
Familiarity with robotics middleware and integration patterns (e.g., ROS2)
Experience with speech-to-text, natural language understanding, or grounding operator intent into system actions
Comfort writing C++ for performance-critical components or extending existing robotics and ML codebases
Exposure to planning, optimization, or autonomy systems where ML outputs influence robot behavior
Company
Alert Venture Foundry
Alert Venture Foundry is a startup studio that focuses on new technologies using AI, machines, and advanced design instruments.
11-50 employees
H1B Sponsorship
Alert Venture Foundry has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Early StageLeadership Team
John Lert
Founder/CEO
Company data provided by crunchbase