Machine Learning Engineer

This contract, remote role supports the development and operation of an ML Platform and agentic AI toolchain for protein therapeutic design. The work covers compute infrastructure, MLOps, and agentic capabilities, with end-to-end connections from data and models into downstream analytics in Snowflake.

Key Responsibilities

• Develop and maintain production-grade Python services, data pipelines, and command-line tooling.
• Build and maintain Helm charts, container images, and the deployment infrastructure used as part of daily delivery.
• Deploy and operate Kubernetes workloads across multiple AWS regions and accounts.
• Instrument pipelines and models so performance, costs, and benchmark outcomes are measurable.
• Collaborate with scientists and engineering leads to determine what to build and help teams adopt new capabilities through documentation and hands-on support.

Required Qualifications

• Education and experience aligned to the role: Bachelor’s degree with 7–10 years of relevant experience, or Master’s degree with 5+ years of relevant experience.
• Strong Python development skills, with experience building production tooling or production pipelines.
• Working knowledge of Kubernetes, Helm, and container-based deployments.
• Experience developing, deploying, or optimizing machine learning pipelines in production.
• Familiarity with infrastructure-as-code and CI/CD practices.
• Experience with AWS, including multi-region or multi-account deployments.
• Experience with data warehousing and ELT patterns, with Snowflake preferred.
• Experience working on a small engineering team (approximately 3–10 engineers) with end-to-end system ownership and independent prioritization, without dedicated QA, SRE, or release functions.
• Routine use of agentic coding harnesses such as Claude Code, OpenCode, Codex, or an equivalent tool as part of day-to-day development, including an understanding of where they help and where they do not.
• Willingness to learn computational biology and protein science domain knowledge.
• Ability to communicate effectively while working independently in a remote setting and collaborating with both engineers and scientists.

Primary Work Areas

• Extend a Kubernetes orchestration platform and the workflows that run on it, including migrating existing application backends onto Kubernetes.
• Make the platform region-agnostic so compute scheduling can expand to new AWS regions and accounts through configuration rather than code changes.
• Implement model registration, versioning, and serving so model outputs are available to scientific applications and downstream reporting.
• Integrate model outputs with the data layer to avoid leaving results as per-project artifacts.
• Build automated benchmarking and retraining for computational tools, LLM models, and agent skills used in de novo design, including GPU-backed benchmarking of larger models.
• Track test sets and datasets and maintain a persistent record of benchmark results over time.
• Incorporate agentic AI into existing scientific applications by defining tools and skills, building evaluation harnesses, and providing safe plumbing for agents to call internal services.
• Deliver reliable S3-to-Snowflake data pulls and automated registration of de novo design results, with monitoring and backfill behavior that does not require manual intervention.
• Optimize existing production pipelines to reduce runtime and cost through profiling, GPU utilization improvements, batching, scheduling, and container image updates.

Tech Stack

• Python
• Kubernetes
• Helm
• Containerized deployments
• AWS
• S3
• Snowflake
• CI/CD
• Infrastructure-as-code
• Claude Code
• OpenCode
• Codex

Compensation and Employment Details

• Job type: Contract
• Location: Remote
• Compensation: USD 48–58 per hour

Benefits

• Automatic benefits for life insurance and short and long term disability insurance
• Optional benefits for full time employees: health, dental, and vision insurance
• College loan assistance
• Employer matched retirement savings plan

Company Overview

Spectrix Analytical Services, LLC provides on-site analytical chemistry services and has delivered reliable, high-quality results since 1999. The team of experienced scientists supports R&D efforts across multiple industries by generating precise analytical data and maintaining sophisticated instrumentation at clients’ laboratories.