EarthDNA · 6 hours ago
Machine Learning Software Engineer (Contract-To-Perm)
Boston, MA
Full-time, Contract
Onsite
Mid Level
3+ years expEarthDNA is revolutionizing the sustainable footwear industry using cutting-edge artificial intelligence. As a Machine Learning Software Engineer, you will implement advanced AI techniques in production environments to enhance consumer engagement with sustainable footwear, while collaborating with cross-functional teams to optimize machine learning models and systems.
EducationEnvironmental ConsultingGreenTechRenewable EnergySustainability
Responsibilities
Design, develop, and deploy machine learning models and systems at scale
Build robots ML infrastructure and pipelines for training, evaluation, and deployment
Collaborate with cross functional teams including data engineers and product management
Optimize model performance, latency, and resource utilization for production environments
Conduct code reviews and establish best practices for ML engineering
Stay current with the latest ML research and technologies, evaluating their applicability to business problems
Collaborate cross-functionally with software engineers, design engineers, material scientists, and industry specialists across the globe to develop and deploy mobile and desktop applications
Qualification
Required
Active GitHub repository or portfolio demonstrating relevant code contributions, personal projects, or open-source work available for review during the application process
Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent work experience with a demonstrated track record in the field)
3+ years of experience with software engineering for machine learning
Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Proven track record of deploying ML models to production environments
Deep understanding of ML algorithms and deep learning architectures
Experience with distributed computing frameworks (Spark, Ray) and cloud platforms (AWS)
Proficiency in software engineering best practices including testing, CI/CD, and version control
Strong problem-solving skills and ability to work independently in complex, ambiguous technical challenges
Preferred
Advanced degree (MS/PhD) in Machine Learning, Computer Science, or related field
Experience with MLOps tools and practices (SageMaker, MLflow, Kubeflow)
Knowledge of model optimization techniques (quantization, pruning, distillation)
Experience with large-scale data processing and feature engineering
Familiarity with containerization (Docker, Kubernetes) and microservices architecture
Company
EarthDNA
EarthDNA is a nonprofit organization with the mission to empower everyone.
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$1MKey Investors
Massachusetts Technology Collaborative
2025-10-16Grant· $1M
Recent News
Government Technology US
2025-11-04
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