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# Senior Machine Learning Engineer

- **Company:** Blue J
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000 - $180,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Applicant Tracking Systems, Data Infrastructure, Data Structures, DevOps, Elasticsearch, Python (Programming Language), PostgreSQL, Machine Learning, Node.Js, Open Source Technology, Tensorflow, Software Deployment, TypeScript, Datadog, Pinecone, Data Processing, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Kubernetes, HuggingFace, Apache Kafka, Machine Learning Operations, Docker, Programming Languages
- **Published:** November 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/py05mz8796

## About the Role

* 8+ years of hands-on experience in machine learning engineering, with a strong background in Python
 * Solid understanding of machine learning fundamentals, data structures, and algorithms, with experience deploying ML models into production environments
 * Hands-on experience with Retrieval-Augmented Generation (RAG) and agentic AI, such as implementing end-to-end pipelines and understanding core components
 * Proven experience leading technical projects or teams, ideally involving ML systems or data products
 * Strong communication skills, you can explain complex technical ideas clearly and collaborate effectively across teams
 * A growth mindset, you bring curiosity, rigor, and a desire to keep learning and improving both your craft and the systems you work on

Technologies You Can Expect to Work With

 * Languages & Frameworks: Python / TypeScript / Node.js
 * ML & Data Tools: PyTorch / TensorFlow / scikit-learn / LangChain / Hugging Face / Proprietary and Open Source LLMs/ Agents SDK/ADK
 * Data Infrastructure: Apache Kafka / PostgreSQL / Pinecone / Elasticsearch
 * MLOps & DevOps: Kubernetes / AWS / Docker / DataDog / MLflow, This is a Level 4 in Blue J's career level framework. We use levels to define the expected scope, autonomy, impact, decision-making, and experience for each role. Final compensation will be set fairly and thoughtfully based on experience, expertise, and alignment with the role's responsibilities. While all candidates are expected to bring directly relevant experience, the top of the range is typically reserved for individuals who demonstrate exceptional depth in the role's core competencies, a strong track record of impact in similar environments, and the ability to operate with a high degree of autonomy from day one.

## Description

As a Senior Machine Learning Engineer, you'll help shape the next generation of intelligent features and systems that power our products. You'll work closely with data scientists, and software engineers to design, build, and deploy scalable RAG solutions, from training models to developing production-ready pipelines for the domain of tax and legal research.

This role is a great fit for someone who's curious about data and eager to turn insights into real-world impact. You'll also support other team members through mentorship, sharing what you know, and collaboration to grow our machine learning practice.

What You'll Be Doing

 * Designing, developing, and deploying end-to-end machine learning systems from data processing and prompt engineering to model evaluation, and production deployment
 * Writing high-quality, well-tested ML code, while mentoring other engineers and data scientists to deliver impactful, production-ready solutions
 * Collaborating with data science and engineering to bring state-of-the-art ML techniques including deep learning, NLP, and generative AI into real-world tax applications
 * Sharing knowledge, reviewing code and experiments, and helping improve our ML engineering standards, tooling, and best practices
 * Staying on top of industry and technology trends, exploring new ideas and innovations to bring into your work, * Meet Soumali, Director of AI
 * Technical exercises with our engineering team
 * System design
 * Meet Brett, our CTO
 * Meet Ben, our CEO

We believe our strength is built on diversity of thought, and encourage candidates from all backgrounds and experiences to apply. We value inclusiveness and are an equal opportunity employer. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We strive to create an inclusive and accessible hiring experience for all candidates. If you need any accommodations during the interview process, please let us know in your application. Our team is dedicated to providing the necessary support and making reasonable adjustments to ensure a smooth process for everyone.

How We Use AI In Our Hiring Process

 * To ensure transparency, we want candidates to know that Blue J uses AI-enabled tools within our applicant tracking system to help organize applications and highlight profiles that match the key requirements for each role.
 * AI does not make hiring decisions.
 * Every application is reviewed by a member of our Talent team, and all decisions throughout the process are made by humans.
 * We use these tools to support efficiency and consistency, not to replace human judgment and we're committed to a fair, thoughtful, and equitable experience for every candidate