AI Summary
Join a fast-growing AI startup as an entry AI/ML engineer to build and deploy real-world AI systems. Collaborate with senior engineers, work on production-scale AI systems, and grow quickly with a comprehensive onboarding and growth path.
Key Highlights
Build, train, and evaluate machine learning models
Deploy ML models into production systems
Improve model performance, reliability, and scalability
Technical Skills Required
Benefits & Perks
Competitive salary & equity options
Sign-on bonus
Health, Dental, and Vision
401(k)
Job Description
Location: Cambridge, MA (Eastern Time / UTC -4)
Relocation package: Available
Start date: ASAP
Languages: English (required)
About The Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are looking for an AI/ML Engineer (Entry Position) to join a growing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will work closely with senior AI, ML, and platform engineers on the development, optimization, and deployment of machine learning models in production environments.
This role is intended for engineers with early professional experience who already have hands-on exposure to applied machine learning and want to grow quickly by working on real, production-scale AI systems.
What Youll Do
- Build, train, and evaluate machine learning models in collaboration with senior engineers
- Contribute to deploying ML models into production systems
- Work with structured and unstructured datasets to support training and inference pipelines
- Improve model performance, reliability, and scalability through experimentation
- Implement and maintain ML code primarily in Python
- Monitor model behavior and assist in debugging production issues
- Participate in model iteration, validation, and performance analysis
- Collaborate with backend and platform teams to integrate AI components into products
- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field
- 2+ years of professional experience working on AI, ML, or data-driven systems (industry, research, or applied internships)
- Excellent academic background, including strong grades and demonstrated university-level achievements
- Evidence of academic or professional excellence, such as scholarships, honors, awards, competitive programs, or impactful projects
- Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics)
- Hands-on experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn (required)
- Strong proficiency in Python
- Strong problem-solving skills and the ability to work independently
- Experience with deep learning, LLMs, or modern AI architectures
- Experience working with real-world, noisy datasets in production
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Exposure to MLOps tools, model deployment, or monitoring
- Publications, research experience, or participation in AI/ML competitions
- Learn from MIT CSAIL–founded leadership and experienced AI engineers
- Work on AI systems deployed to Fortune 500 customers
- Apply strong academic and early professional experience to high-impact AI problems
- Clear growth path toward mid-level and senior AI engineering roles
- Join a well-funded, fast-growing AI startup with strong technical ambition
- Competitive salary & equity options
- Sign-on bonus
- Health, Dental, and Vision
- 401(k)