AI/ML Engineering

Daice Labs; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Equity participation

401 participation

Health benefits

Job summary

A leading AI research company is seeking a remote AI/ML Engineer within the United States. The successful candidate will design, implement, and deploy machine learning models, working across the full ML lifecycle. They require a Bachelor's or Master's in a relevant field, strong experience in ML engineering, and proficiency in Python and ML frameworks like PyTorch or TensorFlow. Additional skills in cloud infrastructure and data processing are valuable. The company offers equity participation and health benefits.

Qualifications

• 3+ years of professional experience in ML engineering or applied AI.
• Experience building and deploying ML models in production environments.
• Strong proficiency in Python and ML frameworks.

Responsibilities

• Design and implement machine learning models for production deployment.
• Build and maintain data pipelines for preprocessing and feature extraction.
• Develop and integrate components of the hybrid AI architecture.

Skills

Python

Machine Learning frameworks (PyTorch, TensorFlow)

Data processing tools

Cloud infrastructure (AWS, GCP, Azure)

Version control and CI/CD

Strong communication skills

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field

Tools

Docker

Kubernetes

Job description

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.

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.