Senior Machine Learning Engineer, Workhuman
Cloud-based, human capital management software solutions
Be an early applicant
Cloud-based, human capital management software solutions
1001+ employees
Be an early applicant
1001+ employees
Company mission
To make work more human for every person and business on the planet through employee recognition.
Role
Who you are
- Strong experience in production-grade Machine Learning models, Agentic AI and their deployments on the cloud (at least 2+ years)
- Senior-level understanding and proficiency in software engineering concepts (SDLC), from translating requirements to technical assignments, to basic foundations like DNS, Databases (SQL & NoSQL), cloud computing (AWS or others), Linux, Git, etc
- Expertise in designing and implementing scalable ML/Development leveraging 5-7+ years of experience
- Proficiency in developing and optimising data pipelines for large-scale ingestion, transformation, analytics, and real-time querying
- Experience building backend integrations with AWS services (ECS, Fargate, Lambda, S3, RDS, Neptune, CloudFront, ALBs, Amazon Redshift)
- Experience in building secure, reliable, and performant services, leveraging AWS, and observability tooling (Splunk)
- Knowledge of Git and collaborative engineering practices to drive quality and consistency
- Achievements:
- Implemented best practices in security, authentication, and performance optimisation in backend systems, resulting in more robust, secure, and efficient applications
- Mentored and guided junior engineers, promoting coding, architecture, MLOps and DevOps best practices, enhancing team capabilities and overall delivery quality
- Designed and delivered analytics features enabling real-time insights and interactive data visualisations, empowering customers to track and understand culture, performance, and engagement trends. (Nice to have)
- Enhanced CI/CD pipelines and automated infrastructure using Jenkins, CodeBuild, CodeDeploy, CodePipeline, CodeArtifact, Docker, and Terraform, improving deployment speed and reliability. (Nice to have)
- Partnered with frontend engineers (React, TypeScript, JavaScript) to deliver seamless, API-driven experiences, ensuring high performance and usability across platforms. (Nice to have)
What the job involves
- Workhuman iQ is our AI-powered people analytics and cultural intelligence platform. It transforms millions of real recognition moments into actionable insights that help us understand skills, retention, engagement, and inclusivity across the business
- With real-time dashboards and an embedded AI Assistant, iQ gives leaders and teams instant visibility into cultural health, performance trends, and talent strengths without needing analysts or complex tools
- You’ll be joining the WHiQ team, a cross-functional squad of engineers bringing together expertise across Machine Learning, Backend, Frontend, and QA
- The team owns and develops the user experience for the Workhuman iQ application as well as the people leader focused team analytics with customer-facing experiences
- They are responsible for designing, building, deploying, and maintaining high-quality features that bring Workhuman's vision to life for our customers
- This includes close collaboration across engineering, product, and design to deliver intuitive, performant, and scalable solutions. As a Senior ML Engineer, you’ll help shape technical direction, build scalable solutions, and mentor other engineers
- The Senior ML Engineer is a proven strong IC with your impact being felt across the squad and team, and you also contribute to cross-department initiatives
- You are viewed as a role model to other engineers and actively mentor less experienced engineers on the team by providing guidance and support when needed
- You’ll engage with stakeholders and collaborate with key experts to shape the right technical solutions that deliver real customer value
- You’ll get to lead technically while working alongside design and product to shape impactful solutions
- Tech stack:
- Machine Learning (Python libraries, SageMaker AI, Bedrock), Data Analytics, Real-Time Processing
- Python, RESTful APIs, AWS (ECS Fargate, Lambda, S3, RDS, Neptune, CloudFront, ALB), PostgreSQL, Amazon Redshift, Amazon Neptune, SQL, Kafka, Redis, Jenkins, Docker, Terraform, CodeBuild, CodeDeploy, CodePipeline, CodeArtifact, Git, Splunk, AWS IAM, Secrets Manager, WAF
Our take
Companies are increasingly recognising the value of data to drive business decisions. Workhuman has highlighted the impact of employee recognition on workforce performance and has developed an SaaS platform to address this.
Workhuman has launched new reporting features in its Admin Hub to enhance recognition program management. These updates provide program managers with improved control and access to insights from their organisation’s Social Recognition program. The new "Manage Reports" feature allows HR leaders to create and customise reports in real-time, making data more actionable and comprehensible. The "Report Access" function enables managers to authorise users to access centralised reports, eliminating the need for complex spreadsheets.
For 25 years, Workhuman has pioneered employee recognition, fostering appreciation, enhancing performance, and promoting inclusivity. The company’s platform captures authentic human moments and turns them into actionable insights, helping businesses make informed decisions and shape their culture. Workhuman continues to innovate, aiming to improve the reporting experience for its customers.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2004
$9.3m
SERIES B
Jan 2003
$5.4m
SERIES A
Total funding: $15m
Company HQ
Framingham, MA
Leadership
Eric Mosley
(Co-Founder & CEO)Co-founder and CEO, leading the company since 1999. Was previously an Internet Consultant at CSK Consultant.
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