Principal AI/ML Engineer
At a glance
Senior Machine Learning Engineering role at Pragmatike. Remote, United States · full-time · no salary stated · we estimate $208,750–$272,683.
Pragmatike has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and tune machine learning and deep learning models for use in production
- Turn models into reliable services, including training, inference and evaluation workflows for varied data
- Track live model quality and reliability, troubleshoot issues, and manage improvements over time
- Work with platform, backend and infrastructure teams to connect ML systems
- Shape technical choices and mentor junior engineers while guiding model experiments and benchmarks
What you bring
- At least seven years in AI/ML, data science or applied machine learning roles
- A bachelor's, master's or doctoral degree in computer science, engineering, mathematics or a related area
- You have put ML systems into production and can take technical responsibility for complex systems
- Strong Python skills and practical depth with PyTorch, TensorFlow or another listed framework
Who this fits
This senior role suits an experienced engineer who has deployed models and wants to own production ML systems and technical decisions. The listing gives Cambridge, Massachusetts as the work location, calls for English, and offers relocation support. You’ll mentor junior engineers as part of the role.
From the employer
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
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 a Senior AI/ML Engineer to join a high-performing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will take technical ownership of critical ML components, lead model development and productionization efforts, and work closely with AI researchers, platform engineers, and product teams to deliver scalable, production-grade AI systems.
This role is intended for experienced AI/ML engineers who have already built and deployed models in production environments and want to operate at the intersection of research-quality AI and real-world systems engineering.
What You’ll Do
Design, build, train, and optimize machine learning and deep learning models for production use
Lead the deployment of ML models into scalable, reliable production systems
Architect training, inference, and evaluation pipelines for structured and unstructured data
Own model performance, reliability, scalability, and lifecycle management
Drive experimentation, model iteration, and performance benchmarking
Implement and maintain high-quality ML codebases primarily in Python
Monitor, debug, and improve live production models
Collaborate with platform, backend, and infrastructure teams on system integration
Contribute to technical direction, architecture decisions, and AI roadmap planning
Mentor junior engineers and support team-level technical excellence
What We’re Looking For
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field
7+ years of professional experience in AI/ML, data science, or applied machine learning roles
Proven experience deploying ML systems into production environments
Strong understanding of ML fundamentals, evaluation methodologies, and model lifecycle management
Deep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Strong proficiency in Python
Experience designing scalable ML systems and pipelines
Ability to operate independently and take technical ownership of complex systems
Strong problem-solving, architecture, and system-design skills
Bonus Points
Experience with deep learning, LLMs, GenAI, or modern AI architectures
Experience building AI systems used by enterprise or large-scale customers
Strong experience with cloud platforms (AWS, GCP, Azure)
MLOps experience (CI/CD for ML, model deployment, monitoring, observability)
Research background, publications, or applied AI innovation projects
Experience leading AI initiatives or mentoring ML engineers
Why This Role Is High-Impact
Work directly with MIT CSAIL–founded leadership
Build AI systems deployed to Fortune 500 customers
Operate at the intersection of cutting-edge AI and real-world production systems
High ownership and influence over technical direction
Join a well-funded, fast-growing AI startup with strong technical ambition
Clear path toward Staff/Principal AI Engineer or AI Architect roles
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.