Overview
On Site
130k - 160k
Full Time
Skills
Art
Mergers and Acquisitions
Optimization
Python
TypeScript
PyTorch
Log Management
CUDA
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Docker
Kubernetes
DevOps
Continuous Integration
Continuous Delivery
Startups
Machine Learning (ML)
Collaboration
Documentation
Training
Artificial Intelligence
Scalability
Health Insurance
SAP BASIS
Job Details
Job Description
Our client, a rapidly scaling startup that blends artificial intelligence with systems optimization, is looking to add an AI/ML Engineer to their growing team. This is a full-time opportunity where you'll work with state-of-the-art technology to build, optimize, and deploy production-ready AI solutions at scale.
This role is ideal for someone who thrives in fast-paced environments and wants to see their work making an immediate business impact. The team is small, highly collaborative, and focused on solving practical problems with advanced AI. You'll not only get exposure to cutting-edge tools and infrastructure but also have the chance to take ownership of high-value projects, contribute to architecture decisions, and grow alongside a company on the rise.
This is a full-time onsite position in Cambridge, MA.
Required Skills & Experience
Tech Breakdown
Daily Responsibilities
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Our client, a rapidly scaling startup that blends artificial intelligence with systems optimization, is looking to add an AI/ML Engineer to their growing team. This is a full-time opportunity where you'll work with state-of-the-art technology to build, optimize, and deploy production-ready AI solutions at scale.
This role is ideal for someone who thrives in fast-paced environments and wants to see their work making an immediate business impact. The team is small, highly collaborative, and focused on solving practical problems with advanced AI. You'll not only get exposure to cutting-edge tools and infrastructure but also have the chance to take ownership of high-value projects, contribute to architecture decisions, and grow alongside a company on the rise.
This is a full-time onsite position in Cambridge, MA.
Required Skills & Experience
- Strong background in end-to-end AI/ML engineering, from model development to system optimization.
- Proficiency in Python, with exposure to TypeScript or Go for integration tasks.
- Hands-on experience with modern ML frameworks (e.g., PyTorch, Transformers, Megatron-LM, CUDA, VLLM, Llama-factory).
- Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes).
- Prior experience deploying AI/ML models in enterprise or large-scale environments.
- Exposure to DevOps practices and CI/CD pipelines.
- Experience in a startup or high-growth company environment.
Tech Breakdown
- 40% Developing and optimizing AI/ML models
- 30% Integrating and maintaining production workloads
- 30% Collaboration, monitoring, and documentation
Daily Responsibilities
- Hands-on coding, training, and deployment of models
- Partnering with engineers to integrate AI solutions into production systems
- Ensuring scalability, maintainability, and alignment with business objectives
- Competitive base salary
- Equity options and performance-based incentives
- Comprehensive benefits package including:
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) with company match
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.