Gusto

www.gusto.com

9 Jobs

3,572 Employees

About the Company

Launched in 2011 as ZenPayroll, Gusto serves more than 400,000 businesses nationwide. Each year, we process tens of billions of dollars of payroll and provide employee benefits--like health insurance and 401(k) accounts--while helping companies create incredible workplaces.

Through one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.

Licensing details: https://gusto.com/about/licenses

Listed Jobs

Company Name: Gusto
Job Title: Staff Machine Learning Engineer - Platform
Job Description: Job Title: Staff Machine Learning Engineer – Platform Role Summary: Senior engineer responsible for designing, building, and maintaining scalable ML infrastructure and MLOps solutions that support Gusto’s data‑driven products. Works closely with model builders, data engineers, and product owners to deliver reliable, production‑grade ML services and APIs. Expectations: - Minimum 10 years of professional software engineering experience. - Proven expertise in end‑to‑end ML lifecycle, from feature engineering to model deployment and observability. - Strong background in building platform services for large‑scale ML systems (feature stores, CI/CD pipelines, monitoring). - Ability to translate business requirements into robust, scalable technical solutions. - Excellent communication and collaboration skills across cross‑functional teams. Key Responsibilities: - Drive the ML Platform technical roadmap and develop MLOps components for automated training, deployment, and monitoring. - Architect and evolve frameworks for model development, deployment, and re‑training pipelines. - Partner with ML model builders and application owners to define SLAs, API contracts, and business requirements. - Design and maintain infrastructure that supports scalable, secure ML services in the cloud. - Lead initiatives to introduce new deployment patterns, CI/CD pipelines, and automated testing for ML models. Required Skills: - Proficiency in Python (mandatory); experience with Ruby or Java. - Deep knowledge of ML infrastructure concepts: feature stores, model registries, observability tools, and serving frameworks. - Hands‑on experience with at least one major cloud platform (AWS preferred, Azure or GCP acceptable). - Familiarity with MLOps tooling such as Kubeflow, AWS SageMaker, MLflow, or equivalent. - Strong system‑design, scalability, and reliability mindset. - Familiarity with container orchestration (Kubernetes) and cloud‑native deployment practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience). - No specific certifications required, though experience with cloud or MLOps certifications is a plus.

New york, United states

Hybrid

Senior

08-09-2025

Company Name: Gusto
Job Title: Senior Security Operations Engineer
Job Description: Job title: Senior Security Operations Engineer Role Summary: Leads strategic security monitoring, incident response, and vulnerability management for large-scale AWS environments. Designs and implements high-fidelity detections, automates response workflows with Python and SOAR, and mentors peers to enhance overall security posture. Expectations: • 6+ years in security operations with senior or lead responsibilities. • Proven track record in AWS security, SIEM/EDR/DLP, and SOAR deployment. • Strong incident response and threat hunting expertise. • Ability to design and document advanced detection and recovery processes. • Leadership skills to mentor engineers and evangelize secure practices. Key Responsibilities: • Architect, build, and tune real‑time security monitoring and detection for AWS services (GuardDuty, Security Hub, WAF, etc.). • Develop and refine incident response procedures, root‑cause analysis, and remediation plans across cross‑functional teams. • Design, develop, and maintain automation frameworks (Python, SOAR) to accelerate alert triage and response. • Harden AWS security posture: deploy/configure SIEM, EDR, DLP, and other tools; continuously improve hardening controls. • Conduct proactive threat hunting using threat intelligence and log analysis. • Serve as principal security advisor to engineering, guiding secure architecture and CI/CD pipeline controls. • Participate in on‑call rotation, manage after‑hours alerts, and use insights to improve codebase, architecture, and processes. Required Skills: • Deep knowledge of AWS security services and best‑practice architecture. • Advanced scripting in Python; experience with SOAR/automation platforms. • Expertise in network security, firewall configuration, and security protocols. • Strong incident response, threat hunting, and vulnerability management fundamentals. • Documentation and process standardization skills. Required Education & Certifications: • Bachelor’s degree in Computer Science, Information Security, or related field. • Professional certifications: CISSP, GCIEM, AWS Certified Security – Specialty, or equivalent. • Additional certifications such as OSCP, CISM, CEH are advantageous.

Company Name: Gusto
Job Title: Machine Learning Engineer
Job Description: **Machine Learning Engineer** **Role Summary**: Design and deploy scalable AI/ML models to solve complex business problems and optimize customer experience. Lead cross-functional teams to integrate advanced solutions, ensuring model performance, robustness, and alignment with organizational goals. Drive innovation through academic research integration and production-ready system development. **Expectations**: Minimum 8 years building and deploying production-grade ML systems. Demonstrated expertise in advanced algorithms and cloud platforms. Proven ability to manage cross-disciplinary teams, mentor engineers, and translate technical insights into business impact. Strong business acumen to align solutions with strategic priorities. **Key Responsibilities**: 1. Design, develop, and deploy AI/ML models for high-impact business applications. 2. Lead teams in model development, validation, deployment, and lifecycle management. 3. Collaborate with product, engineering, and business teams to identify AI integration opportunities. 4. Prototype and implement cutting-edge algorithms from research and industry trends. 5. Oversee model performance, explainability, and robustness in production environments. 6. Communicate technical results and project progress to technical/non-technical stakeholders. 7. Guide architectural decisions and technical roadmap for AI/ML initiatives. **Required Skills**: - Advanced expertise in supervised/unsupervised learning, reinforcement learning, deep learning, and NLP. - Proficiency in TensorFlow, PyTorch, and Python with CI/CD/test practices. - Cloud platform experience (AWS/GCP/Azure). - Leadership in cross-disciplinary collaboration and technical mentoring. - Strong analytical and communication skills for stakeholder alignment. **Education & Certifications**: - Ph.D. or Master’s in Computer Science, Statistics, Mathematics, or related field preferred. - Minimum 8 years of industry experience in machine learning or AI research (equivalent experience accepted).

Company Name: Gusto
Job Title: Staff Product Designer, Contractors
Job Description: **Job Title** Staff Product Designer, Contractors **Role Summary** Senior individual‑contributor responsible for elevating the contractor product experience. Drives vision, strategy, and execution across the platform, collaborating closely with product, engineering, data, compliance, and support teams to create accessible, high‑impact designs. **Expectations** - Lead design direction for a flagship product area that spans multiple domains. - Shape long‑term UX strategy and align it with business objectives. - Influence product and business decisions at executive levels. - Deliver quality, inclusive designs consistently, iterating rapidly to surface customer value. **Key Responsibilities** - Define and articulate a long‑term UX vision for the contractor product set. - Partner with UX research, data science, legal, compliance, ops, and support to surface customer pain points and business opportunities. - Design, prototype, and ship both new features and iterative improvements that enhance the end‑to‑end contractor experience. - Champion and evolve the design system and platform standards. - Contribute to the broader design community by sharing insights, feedback, and best practices. **Required Skills** - 8+ years of product design experience, with proven leadership in design direction at the product level. - Demonstrated ability to influence across multiple product areas and lead design in complex, regulated domains. - Strong product acumen: experience working with executive stakeholders and shaping strategy. - Expertise in creating accessible, high‑quality user experiences across web and mobile. - Comfortable shipping iteratively, with a focus on early customer value. **Required Education & Certifications** - Bachelor’s degree in Design, Human‑Computer Interaction, Computer Science, or a related field (equivalent experience acceptable). ---

New york, United states

Hybrid

Senior

21-09-2025

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