AI/ML Engineer (Entry Position)

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

What Were Looking For

• 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

Bonus Points

• 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

Why This Role Will Pivot Your Career

• 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

Benefits

• Competitive salary & equity options

• Sign-on bonus

• Health, Dental, and Vision

• 401(k)

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.