DL
AI/ML Engineering
Accepting applicationsDaice Labs · United States
Full-Time Entry AIMachine LearningPythonaiate
Posted
5d ago
Category
Test
Experience
Entry
Country
United States
Job Title: AI/ML Engineer
Location: Brookline, MA (Remote within the United States)
Employment Type: Full-time
About Daice Labs
Daice Labs is an AI research and product company founded by MIT CSAIL scientists, headquartered in Brookline, MA. The company develops hybrid AI systems that integrate neurosymbolic methods with machine learning to build auditable, adaptive, and governable AI. Daice Labs operates two integrated divisions: a research lab focused on hybrid AI architectures, and Cofabric, a governed AI execution platform for long-horizon collaborative work.
About the Role
We are hiring an AI/ML Engineer to join our engineering team remotely within the United States. You will design, implement, and deploy machine learning models and AI systems as part of our core product and research infrastructure. This role spans the full ML lifecycle — from data pipeline architecture through model training, evaluation, and production deployment.
Responsibilities
Design and implement machine learning models for production deployment, including training pipelines, evaluation frameworks, and inference optimization
Build and maintain data pipelines for preprocessing, feature extraction, and dataset management
Develop and integrate components of our hybrid AI architecture, working across symbolic and neural paradigms
Collaborate with research scientists to translate theoretical frameworks into working software
Write clean, tested, and well-documented code following software engineering best practices
Participate in code reviews, architecture discussions, and sprint planning
Monitor and improve model performance, latency, and computational efficiency in production
Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
3+ years of professional experience in ML engineering or applied AI
Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Experience building and deploying ML models in production environments
Familiarity with cloud infrastructure (AWS, GCP, or Azure)
Experience with data processing tools and relational/non-relational databases
Understanding of software engineering practices: version control, testing, CI/CD
Strong written and verbal communication skills
Preferred
Experience with LLMs, transformer architectures, or agentic AI systems
Familiarity with neurosymbolic AI, knowledge graphs, or formal methods
Experience with Docker, Kubernetes, or containerized deployment
Contributions to open-source ML projects or published research
PhD in a relevant field
Compensation: Salary details will be discussed during the interview process. Benefits include equity participation, 401 participation, and health benefits.
Equal Opportunity
Daice Labs is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under national, state, or local law. Applicants with criminal histories will be considered in a manner consistent with applicable state and local laws.
Daice Labs is a corporation compliant in MA and a e-verify employer.
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Location: Brookline, MA (Remote within the United States)
Employment Type: Full-time
About Daice Labs
Daice Labs is an AI research and product company founded by MIT CSAIL scientists, headquartered in Brookline, MA. The company develops hybrid AI systems that integrate neurosymbolic methods with machine learning to build auditable, adaptive, and governable AI. Daice Labs operates two integrated divisions: a research lab focused on hybrid AI architectures, and Cofabric, a governed AI execution platform for long-horizon collaborative work.
About the Role
We are hiring an AI/ML Engineer to join our engineering team remotely within the United States. You will design, implement, and deploy machine learning models and AI systems as part of our core product and research infrastructure. This role spans the full ML lifecycle — from data pipeline architecture through model training, evaluation, and production deployment.
Responsibilities
Design and implement machine learning models for production deployment, including training pipelines, evaluation frameworks, and inference optimization
Build and maintain data pipelines for preprocessing, feature extraction, and dataset management
Develop and integrate components of our hybrid AI architecture, working across symbolic and neural paradigms
Collaborate with research scientists to translate theoretical frameworks into working software
Write clean, tested, and well-documented code following software engineering best practices
Participate in code reviews, architecture discussions, and sprint planning
Monitor and improve model performance, latency, and computational efficiency in production
Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
3+ years of professional experience in ML engineering or applied AI
Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Experience building and deploying ML models in production environments
Familiarity with cloud infrastructure (AWS, GCP, or Azure)
Experience with data processing tools and relational/non-relational databases
Understanding of software engineering practices: version control, testing, CI/CD
Strong written and verbal communication skills
Preferred
Experience with LLMs, transformer architectures, or agentic AI systems
Familiarity with neurosymbolic AI, knowledge graphs, or formal methods
Experience with Docker, Kubernetes, or containerized deployment
Contributions to open-source ML projects or published research
PhD in a relevant field
Compensation: Salary details will be discussed during the interview process. Benefits include equity participation, 401 participation, and health benefits.
Equal Opportunity
Daice Labs is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under national, state, or local law. Applicants with criminal histories will be considered in a manner consistent with applicable state and local laws.
Daice Labs is a corporation compliant in MA and a e-verify employer.
Show more Show less