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aitechML Engineerremote
About this role
Join Scale AI as a Senior Machine Learning Engineer to lead the application of advanced AI technologies in mission-critical government systems, focusing on generative AI, computer vision, and reinforcement learning.
Description
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
Responsibilities
- Own the design and delivery of agent capabilities end to end - architecture, implementation, and the evaluation that proves they work
- Define net-new patterns in problem spaces with no established approach, propose them to the wider team, and lead the work to build them
- Take state of the art models developed internally and from the community and put them into production to solve problems for our customers and taskers
- Improve and maintain production models and agents through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
- Build agent-level evaluation benchmarks, LLM judges, and verifiers - and use it to hillclimb performance rather than just report on it
- Partner with product and research teams to scope and shape high-impact initiatives, including for upcoming product lines
- Build scalable machine learning infrastructure to automate and optimize our ML services
- Work directly with government users and subject-matter experts, and translate what you learn into technical direction
- Act as a force multiplier and a primary reviewer for your team, mentoring at least one engineer, and your manager's go-to on feasibility questions
- Communicate technical tradeoffs clearly to non-technical stakeholders
- Treat security and compliance as design constraints to engineer around rather than blockers to route past
- Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
- Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
- Comfortable with light travel (approximately 10%) for customer interaction and team needs
Requirements
- 5+ years of experience building and deploying applied ML systems in production environments
- Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
- A track record of owning architectural decisions and defending the tradeoffs behind them - not just implementing a design handed to you
- Experience shipping agentic systems with real production traffic and evaluation rigor, rather than prototypes or demos
- Solid background in algorithms, data structures, and object-oriented programming
- Strong programming skills in Python, experience in PyTorch or Tensorflow
- Experience mentoring or reviewing the work of other engineers
Conditions & Benefits
- Compensation packages include base salary, equity, and benefits
- Base salary range for this full-time position in Washington DC is: $235,200 — $294,000 USD
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Additional benefits such as a commuter stipend may be available
Job Details
Salary$235,200–$294,000
LocationRemote
AI Score★★★★★★★★★☆ 9/10
PostedSep 14, 2026 (6d ago)
Tags & Skills
aitechML Engineerremote
Tech Stack
Generative AIAgentic AINatural Language ProcessingDeep LearningDeep Reinforcement LearningComputer VisionPythonPyTorchTensorFlow