Senior Machine Learning Engineer

Perfect Path; United States; Remote; USD 150,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Medical, dental, and vision insurance

Paid time off including holidays

Opportunities for growth in a rapidly growing organization

Job summary

A leading organization in medical evidence services is looking for a Senior Machine Learning Engineer to design and develop scalable AI systems. This role requires a strong background in Python and cloud platforms, alongside 3-5 years of experience in production applications. Responsibilities include mentoring junior engineers and collaborating with teams for effective ML solutions. Competitive salary ranges from $150,000 to $180,000 annually, plus benefits and bonuses.

Qualifications

• 3-5 years of experience designing, building, and deploying scalable production applications.
• Authorized to work in the United States without requiring sponsorship.
• Hands-on experience with prompt engineering and ML frameworks.

Responsibilities

• Design and implement GenAI systems in production.
• Serve as a subject matter expert for machine learning systems.
• Mentor junior and mid-level engineers.

Skills

Python

Distributed computing

Cloud platforms (AWS, Kubernetes)

Excellent communication

Collaboration skills

Education

Bachelor’s or Master’s degree in Computer Science or Data Science

Tools

AWS (SageMaker, ECS, Lambda)

Terraform

CI/CD frameworks

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