Senior Machine Learning Engineer

About the role

## About the Company

Jobot is recruiting for a well-funded AI startup developing next-generation artificial intelligence and machine learning solutions.

The company focuses on transforming how large and complex datasets are consumed, interpreted, and utilized. The engineering environment emphasizes innovation, advanced Generative AI technologies, rapid development, and solving challenging technical problems.

## About the Role

The Senior Machine Learning Engineer will design, develop, and implement machine learning infrastructure and architecture for processing and interpreting large, complex document collections containing encoded rules.

This role combines machine learning engineering, AI/ML infrastructure, Generative AI, knowledge graphs, model evaluation, and software development. The engineer will work closely with frontend and backend teams to support rapid experimentation, iteration, and deployment of AI solutions.

### Key Responsibilities

• Design and implement scalable machine learning infrastructure.
• Build systems for ingesting, processing, and interpreting complex datasets.
• Architect reliable systems capable of handling documents containing varied encoded rules.
• Develop machine learning models for complex data interpretation.
• Apply knowledge graph technologies to enhance data understanding and model capabilities.
• Develop evaluation frameworks to measure model performance.
• Analyze evaluation results and rapidly iterate on models and systems.
• Integrate Generative AI capabilities into existing and new ML pipelines.
• Research and apply modern AI/ML technologies and development practices.
• Collaborate with frontend and backend engineering teams.
• Support rapid experimentation and deployment of AI-powered solutions.
• Maintain high standards for code quality and engineering practices.
• Use GitHub and modern version-control workflows to manage code repositories.
• Help develop scalable and production-ready AI/ML systems.
• Solve complex technical challenges involving large datasets and AI infrastructure.

### Required Qualifications

• **5+ years of experience** in machine learning and software development.
• Strong professional experience with AI/ML infrastructure.
• Proven experience working with Generative AI (GAI).
• Expert-level proficiency in Python.
• Experience collaborating across different programming languages and codebases.
• Strong experience with GitHub or comparable version-control systems.
• Advanced knowledge of machine learning model development.
• Experience with model evaluation and performance optimization.
• Ability to rapidly iterate based on evaluation results and feedback.
• Strong problem-solving and systems-architecture skills.
• Ability to design and implement scalable solutions for complex technical challenges.
• Strong communication and cross-functional collaboration skills.

### Technical Areas

The role involves working across several areas of modern AI engineering, including:

• Machine learning infrastructure
• Generative AI
• Python
• Knowledge graphs
• AI/ML model development
• Model evaluation
• Data ingestion
• Data processing
• Complex document interpretation
• AI/ML pipelines
• Scalable system architecture
• GitHub
• Software development

## Generative AI & Machine Learning

A major focus of this role is applying Generative AI to complex data and document-processing challenges.

The Senior Machine Learning Engineer will help integrate GAI capabilities into machine learning pipelines while continuously evaluating and improving system performance.

The role requires an engineer who can balance experimentation with production requirements, using evaluation results and technical feedback to improve models and infrastructure quickly.

## Scalable AI Infrastructure

The engineer will be responsible for developing infrastructure capable of supporting the ingestion and processing of large and complex datasets.

Solutions should be designed with scalability, accuracy, reliability, and maintainability in mind. The successful candidate will need to understand how machine learning systems interact with software infrastructure and how to translate experimental AI capabilities into usable product functionality.

## Knowledge Graphs & Complex Data

The position includes opportunities to develop machine learning solutions involving knowledge graphs and complex datasets.

Knowledge graph-based approaches can help connect entities, relationships, and contextual information, making them useful when AI systems need to interpret large collections of structured or semi-structured information.

The engineer will contribute to systems that improve how complex information is represented, interpreted, and utilized by AI applications.

## Model Evaluation & Rapid Iteration

Effective evaluation is an important part of the development process.

The Senior Machine Learning Engineer will create and use evaluation frameworks to measure model performance, identify weaknesses, and guide subsequent improvements.

The expected workflow includes:

• Develop or integrate an AI/ML capability.
• Establish appropriate evaluation criteria.
• Measure system and model performance.
• Analyze results and identify weaknesses.
• Iterate on the model or infrastructure.
• Re-evaluate performance.
• Deploy improvements when they meet appropriate requirements.

## Remote Work & Benefits

The position is fully remote and offers a flexible environment designed for professionals working on advanced AI technologies.

The listed benefits include:

• Fully remote work.
• Competitive compensation.
• Meaningful equity.
• Unlimited paid time off.
• Work-from-home stipend.
• Opportunities to work on complex technical challenges.
• Exposure to cutting-edge AI and Generative AI projects.

## Compensation

The listed base salary range is **$180,000 to $225,000 per year**.

Actual compensation may vary based on skills, experience, qualifications, and other applicable factors. Candidates should discuss the specific compensation package with the recruiter.

## Why Join This Opportunity?

This position provides an opportunity for an experienced machine learning engineer to work on a greenfield AI platform and solve technically complex problems involving large datasets, document interpretation, Generative AI, and machine learning infrastructure.

The combination of advanced AI technology, flexible remote work, competitive compensation, and opportunities to influence a developing platform makes this role particularly relevant for engineers who want to work on production-focused AI systems.

## Equal Opportunity

Jobot and its client are committed to providing an inclusive workplace. Employment decisions are based on qualifications, skills, experience, and business needs, with equal opportunity provided to qualified candidates regardless of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or other characteristics protected by applicable federal, state, or local laws.