ML Engineer — Wildlife Vision & Prediction

EBSCO Industries, Inc.; Massachusetts; On-site; USD 120,000 - 160,000; Full time

Job summary

Moultrie is seeking a Machine Learning Engineer to own the prediction ML lifecycle from camera imagery to deer movement predictions and hunt location optimization. This role offers high autonomy and a chance to define the technical direction of the platform.

You will design, train, and deploy the prediction layer that turns behavioral data into actionable stand recommendations for hunters, shaping product success and user experience.

Qualifications

• 4+ years of production ML engineering experience.
• Deep proficiency in PyTorch; YOLO/Ultralytics preferred.
• Strong understanding of CNNs, transfer learning, and domain adaptation.
• Experience deploying models at scale on GPU infrastructure (AWS SageMaker, GCP Vertex AI, or equivalent).
• Proficiency in Python and data pipeline tooling (Kafka, Airflow).
• Familiarity with time-series models (LSTMs, Prophet, XGBoost).
• Experience in wildlife imaging or low-contrast, occlusion-heavy domains is a plus.

Responsibilities

• Design and train object detection and classification models for deer presence, sex, age class, and antler characteristics.
• Build end-to-end ML pipeline from data ingestion to deployment via Triton, TorchServe, or similar.
• Develop deer re-identification models across cameras and time.
• Engineer features from vision outputs and environmental data for downstream predictions.
• Integrate ML Ops tooling for experiment tracking and model versioning (MLflow/Weights & Biases).
• Collaborate with Data Engineering and Wildlife Biologist to validate outputs.
• Monitor production performance and implement retraining pipelines to address data drift.

Skills

PyTorch

CNNs

Transfer learning

Domain adaptation

Time-series models

Tools

AWS SageMaker

GCP Vertex AI

Azure

Kafka

Airflow

Job description

Moultrie is seeking a Machine Learning Engineer to own the prediction ML lifecycle from camera imagery to deer movement predictions and hunt location optimization. This role offers high autonomy and a chance to define the technical direction of the platform.

You will design, train, and deploy the prediction layer that turns behavioral data into actionable stand recommendations for hunters, shaping product success and user experience.