Machine Learning Platform Engineer

Sunthetics; San Marcos (TX); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Health benefits

Promotion opportunities

Small team

Fully remote team

Job summary

Sunthetics is seeking a Machine Learning Engineer (Infrastructure Focus) to strengthen and streamline our ML and Bayesian Optimization package development. You will build robust, production-ready workflows, improve testing and reproducibility, and collaborate with data science, MLOps, and software teams.

The role emphasizes test automation, model versioning, CI/CD for ML, and maintaining connector layers between ML modules and the platform, with a fully remote team.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Math, or related field.
• 3+ years of experience in ML or backend software engineering.
• Strong Python engineering background, including Pytest, Pydantic, and modular package design.
• Hands-on experience with ML frameworks (especially PyTorch, BoTorch, Optuna, or MLflow).
• Demonstrated ability to transform research prototypes into maintainable, production-ready modules.
• Passion for testing, maintainability, and reproducibility as first-class ML engineering priorities.

Responsibilities

• Architect the next generation of Sunthetics’s optimization engine — enhancing reliability, modularity, and adaptability for new modeling features and experimental configurations.
• Implement experiment tracking and model versioning (e.g., MLflow, DVC, internal tracking systems).
• Build automated validation and testing frameworks for model inputs, outputs, and optimization routines using Pytest, Pydantic, and continuous integration tools.
• Collaborate with ML to productionize new Bayesian Optimization and Active Learning methods.
• Maintain connector layers between ML modules and the software platform (API-level integrations).
• Partner with MLOps and backend teams to improve deployment and inference pipelines, ensuring reproducible ML behavior across environments.
• Champion software engineering best practices — code modularity, version control hygiene, testing coverage, and CI/CD for ML.

Skills

Python

Pytest

Pydantic

Modular design

Strong Python engineering

Education

Bachelor’s or Master’s degree in Computer Science/Data Science/Applied Math

Tools

PyTorch

BoTorch

Optuna

MLflow

Job description

About the Role

We are seeking a Machine Learning Engineer (Infrastructure Focus) to strengthen and streamline our ML and Bayesian Optimization (BO) package development. This role focuses on testing, reproducibility, and code reliability — building the systems that make our ML researchfast, traceable, and production-ready.

This position is ideal for a strong Python engineer who enjoys designing robust, maintainable ML workflows and collaborating across data science, MLOps, and software teams.

Core Responsibilities

• Architect the next generation of Sunthetics’s optimization engine — enhancing reliability, modularity, and adaptability for new modeling features and experimental configurations.
• Implement experiment tracking and model versioning (e.g., MLflow, DVC, internal tracking systems).
• Build automated validation and testing frameworks for model inputs, outputs, and optimization routines using Pytest, Pydantic, and continuous integration tools.
• Collaborate with ML to productionize new Bayesian Optimization and Active Learning methods.
• Maintain connector layers between ML modules and the software platform (API-level integrations).
• Partner with MLOps and backend teams to improve deployment and inference pipelines, ensuring reproducible ML behavior across environments.
• Champion software engineering best practices — code modularity, version control hygiene, testing coverage, and CI/CD for ML.

Ideal Profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Math, or related field.
• 3+ years of experience in ML or backend software engineering.
• Strong Python engineering background, including experience with Pytest, Pydantic, and modular package design.
• Hands-on experience with ML frameworks (especially PyTorch, Botorch, Optuna, or MLflow).
• Demonstrated ability to transform research prototypes into maintainable, production-ready modules.
• Passion for testing, maintainability, and reproducibility as first-class ML engineering priorities.

Nice to haves

• Familiarity with chemical or scientific data workflows.
• Experience collaborating with MLOps and backend engineers on deployment and containerization (e.g., Docker, AWS).
• Exposure to Bayesian methods, probabilistic modeling, genetic programming or Active Learning.

Why This Role Matters

This position directly supports Sunthetics’ goal of building scalable, reproducible MLinfrastructure. You’ll enable the ML team to deliver new features faster, reduce refactoringoverhead, and maintain reliability across client campaigns and product development.

Your work will

• Accelerate the release of new ML and optimization features.
• Multiply the impact of the core ML team by transforming ad-hoc workflows into sustainable, automated systems — freeing researchers to focus on innovation, not infrastructure.
• Build the foundation for sustainable scaling of SuntheticsML.

What We Value

• Clean, maintainable code over clever hacks.
• Cross-functional collaboration — you’ll work closely with data scientists, MLOps, and product teams.
• Ownership and autonomy — ability to design, document, and deliver robust systems independently.
• Sustainability through engineering — building tools that make science faster, cleaner, and more efficient.

Salary and Benefits

• Competitive salary and company equity package.
• Health benefits.
• Opportunities for internal promotion.
• Small-team setting with a collaborative atmosphere.
• Fully remote team.

Equal Employment Opportunity Statement

Sunthetics is an Equal Opportunity Employer. Sunthetics is committed to a policy of equal treatment and opportunity in every aspect of its hiring and promotion process without regard to race, color, creed, religion, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender and/or gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran or military status, age, disability, predisposing genetic characteristics, domestic violence victim status, unemployment status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

Sunthetics does not offer sponsorship for work Visas but will accept candidates holding OPT.