Job Title: Senior Machine Learning Engineer

Company Name: Perfect Path, LLC, d/b/a Trajector Services

Job Url: https://www.simplyhired.com/job/rE_TzBpX3D8hXTe1MA1JNwuZHDb3k-aKqWQwsRswc1O4QT0ua-qvRA

Job Description: Senior Machine Learning Engineer
Perfect Path, LLC, d/b/a Trajector Services
Remote

Job Details
Full-time
$150,000 - $180,000 a year
4 hours ago
Benefits
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Qualifications
Computer Science
Kubernetes
Amazon ECS
Amazon SageMaker
System design
Google Cloud Platform
Scalable systems
3 years
Prompt engineering
Master's degree
Technical solutions implementation
Bachelor's degree
Machine learning
Terraform
Continuous integration
Mentoring
Scalability
S3
Master’s degree in computer science
Distributed computing
Senior level
AI
Cross-functional collaboration
Bachelor's degree in computer science
Research findings presentation
Communication skills
Python
Generative AI
Cross-functional communication
Bachelor's degree in data science
Data Science
AWS Lambda
Full Job Description
Overview:
Trajector is where purpose meets progress. We specialize in medical evidence services that become the compass our clients rely on while navigating the intricate terrain of disability benefits. Our calling is clear: to make a real difference, infuse passion, and enhance the quality of life for the disabled community. As part of our global community, you'll join a team of over 1,800 dedicated individuals, each contributing their unique talents to streamline the path to benefits. Urgency propels us, data empowers us, and every step is tailored to ensure those with disabilities access their rightful compensation. Join us in shaping stories of transformation, one life at a time.
Job Overview:
We are looking for a Senior Machine Learning Engineer to drive the design and development of scalable AI systems that deliver meaningful impact across the organization. In this role, you will serve as a technical expert, guiding the team in productionizing and maintaining our GenAI workflows for information extraction and document generation.
About Our Perks, Compensation, & Benefits:
Competitive compensation ranging from $150,000 - $180,000 per year PLUS quarterly bonus.
Medical, dental, vision, 401k program, and more.
Paid time off, including seven (7) federal holidays plus two (2) flex holidays for DEI.
Joining a rapidly growing organization.
Responsibilities:
Design and implementation of reliable, maintainable, and scalable GenAI systems in production.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews, technical guidance, and design collaboration.
Design, evaluate, and implement GenAI systems and workflows for information extraction and document generation.
Ability to take a proof of concept and turn it into production capable system.
Collaborate with product managers, data scientists, and engineers to translate business needs into high quality, production ready ML solutions.
Present findings, insights, and system results to technical and non technical stakeholders.
Qualifications:
Authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future.
Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical field.
3-5 years of experience designing, building, and deploying scalable production applications.
Strong proficiency in Python.
Hands on experience of distributed computing and cloud platforms (g., AWS, Kubernetes, Terraform, CI/CD frameworks).
Excellent communication and collaboration skills.
Nice to haves:
Experience with prompt engineering, RAG systems, and LLM evaluation.
Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen).
Experience with workflow orchestration tools (e.g., Airflow, Prefect, Temporal) for managing complex ML/GenAI pipelines.
Familiarity with vector databases and retrieval-augmented generation (RAG) patterns.
Experience evaluating and mitigating LLM risks (hallucinations, bias, safety)
Tech Stack
Python
AWS (SageMaker, Bedrock, ECS, Lambda, S3, etc.)
Terraform, CI/CD frameworks
EEO Statement:
Trajector is an EOE/Veterans/Disabled/LGBTQ employer