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Swoon · 1 day ago

Machine Learning Engineer

San Francisco, CA

Full-time

Onsite

Mid Level

$140K/yr - $180K/yr

Swoon is actively seeking a Machine Learning Engineer to join the team. The role involves designing and enhancing machine learning systems for autonomous industrial robots, collaborating with various teams to create impactful solutions, and developing deep learning models to address complex problems.

ConsultingHuman ResourcesInformation TechnologyLegalStaffing Agency

No H1B

U.S. Citizen Only

Hiring Manager

Kathryn Jackson

Responsibilities

Design, build, and enhance machine learning systems that power autonomous industrial robots, combining perception, decision-making, and control algorithms at scale

Partner closely with robotics, deployment, and sales teams to translate real-world customer needs into high-impact machine learning solutions

Develop and productionize deep learning models using TensorFlow and/or PyTorch, including adapting state-of-the-art architectures to solve novel, complex problems

Build product features, data pipelines, and internal tools to visualize, monitor, and understand model behavior and performance

Apply data science best practices to analyze model outputs and system performance, generating actionable insights that drive continuous improvement

Automate, manage, and validate data collection, training, and evaluation pipelines to ensure model reliability and scalability

Communicate model performance, results, and trade-offs clearly to technical and non-technical stakeholders, demonstrating strong ownership and accountability

Qualification

PythonTensorFlowGoogle Cloud PlatformDeep learning frameworksData orchestration toolsBig data systemsCommunication skillsCollaborative mindset

Required

Strong software engineering experience in Python (primary) with exposure to Rust, building reliable, production-grade machine learning systems

Hands-on experience with deep learning frameworks such as TensorFlow, along with a solid understanding of core machine learning and data science principles

Experience working in cloud-native environments, particularly Google Cloud Platform (BigQuery, Cloud Spanner, Cloud Storage), supporting large-scale data and ML workflows

Proficiency with data orchestration, infrastructure, and platform tooling, including Airflow, Kubernetes, Terraform, gRPC, and CI/CD pipelines

Familiarity with big data systems and processing tools (e.g., BigQuery, Spark, Hive) and designing scalable data pipelines

Ability to take full ownership of projects—setting realistic timelines, working independently in large shared codebases, and delivering results with minimal oversight

Strong communication skills and collaborative mindset, with preferred experience in robotics, computer vision (3D scene understanding, detection/segmentation), or robotic manipulation systems

Company

Swoon

Glassdoor3.4

In 2010, Swoon launched an agile, client-focused team that is not only savvy in our core industries but elbow-deep, every day, getting to know the strongest talent in the technology and professional fields.

Founded in 2009