Machine Learning Operations Engineer

This range is provided by CYVL. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00 / yr - $175,000.00 / yr

About Us

Cyvl is a Boston-based tech startup revolutionizing how civil engineering firms and governments map and manage transportation infrastructure. Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, retrofitted to our customers' vehicles.

This data is processed through our AI-powered cloud pipelines to generate actionable geospatial insights that save cities and engineering firms time, money, and resources.

At Cyvl, our mission is to empower governments to build and maintain public infrastructure they're proud of by accelerating decision-making through our sensors and Infrastructure Intelligence Platform.

We're a fast-moving, high-growth team that believes in solving real-world problems with authenticity, simplicity, and boldness. Every member of our team is empowered to take ownership, deliver results, and leave a lasting impact on the communities we serve.

About The Role

As an MLOps Engineer at Cyvl, you will lead the development of the platforms and tooling that empower our Machine Learning team to move quickly and efficiently. Your primary focus will be optimizing our data curation and annotation workflows, ensuring that all labeled datasets and metadata are centrally organized, easily discoverable, and reusable. Beyond data management, you'll also support experimentation, model training, and deployment workflows to help us bring ML solutions to production faster and with greater reliability. This is a highly cross-functional role where you'll collaborate with ML engineers, software engineers, and product managers to enable scalable and reproducible machine learning systems.

Key Responsibilities

Build and maintain scalable pipelines for data ingestion, preprocessing, labeling, and metadata management.

Centralize all ML annotations, datasets, and labels using best-in-class data management and labeling tools.

Evaluate and integrate third-party tools and frameworks to increase efficiency of the ML development process.

Contribute to infrastructure decisions and promote best practices across the MLOps lifecycle.

Design and maintain platforms that accelerate ML experimentation, hyperparameter tuning, and training workflows.

Collaborate with ML engineers to streamline and automate deployment of models to production environments.

Qualifications

Required

3+ years of experience in an MLOps or related role, supporting a team of at least 3 ML engineers.

Strong hands-on experience with Kubernetes and container orchestration for ML workloads.

Experience with the AWS SageMaker suite of tools

Familiarity with modern data labeling and management platforms (e.g., Label Studio, Kili, Scale AI, CVAT, Prodigy, Postgres, etc.).

Experience designing, maintaining, and scaling ML pipelines and tooling.

Proficiency in Python and experience with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).

Experience with the Go programming language

Experience with experiment tracking tools (e.g., MLflow, Weights & Biases).

Strong knowledge of DevOps, CI / CD practices, and cloud infrastructure (AWS preferred).

Excellent communication and collaboration skills, with the ability to work effectively across teams.

Nice to Have

Experience with data versioning tools like DVC or LakeFS.

Exposure to data lake / warehouse solutions like Snowflake or BigQuery.

Knowledge of vector databases and semantic search.

Familiarity with Argo Workflows

Previous work in startup or high-growth environments.

Background in building internal tools and dashboards for ML teams.

Ideal Cyvl Candidate

Self-motivated, self-starter with a zeal to win

Great communicator; strong oral and written skills

Ability to think creatively

Hands-on problem solver who enjoys cracking difficult nuts

Quick study – able to pick up and apply new concepts in a hurry

Track record of achievement

Enjoys working on and helping to build outstanding teams

Demonstrates an entrepreneurial spirit and gets stuff done.

What we offer

Comprehensive health, dental, and vision coverage

401(k) with immediate vesting

Generous PTO, paid parental leave, and flexible work options

Annual professional development stipend

Team events, referral bonuses, and a collaborative, growth-focused culture

Why Cyvl

At Cyvl, you'll join a driven and supportive team that's all out in building technology with real impact. We care deeply about our work, our customers, and each other. Collaboration and trust are at the core of how we operate. You'll work with people who move fast, take ownership, and deliver on their word. We push each other to grow, stay curious, and keep learning, always accelerating with intention. If you're ready to make a meaningful difference and be part of a team that empowers communities and each other, you'll feel right at home at Cyvl.

At Cyvl, we welcome and celebrate diversity in all its forms. We do not discriminate based on race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic. Your unique perspective is valued here.

Compensation Range : $130K - $175K

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