Machine Learning Engineer

About Harver

Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company’s portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work.    

At Harver, we:

• Seek to Connect - Connections hold us together and make us stronger. 
• Embrace the Present - Candor is crucial. Everyone has a clear view of what we're doing and why it matters. 
• See it Through - Actions drive outcomes. We each have our role to play and we trust each other to get it done. 
• Envision What's Beyond - We push ourselves to think past the obvious. Because what got us here, won't get us there. 

Job Overview:

Harver is looking for a Machine Learning Engineer to take ownership of Harver’s ML-powered applications. The ideal candidate would be experienced in developing, training and deploying ML services in a stable and interpretable fashion to cloud environments. You will be part of Harver’s Data team and work on delivering new ML driven capabilities, in addition to maintaining and enriching our existing ML capabilities. 

In this role you get to: 

• Collaborate with data engineers, data scientists, and product managers for the design, delivery and maintenance of our ML applications 
• Partner with different teams and domains on designing, explaining and implementing ML models 
• Play an active role in researching and innovating to find relevant ML use-cases that will play a role in achieving our business objectives 

We’re looking for people who have:  

• At least 2-3 years of experience working with machine learning and related technologies 
• Has worked toward delivering ML applications to high traffic production environments, including MLOps experience and tools such as MLFlow or SageMaker 
• Solid experience with Python’s scientific stack: pytorch, numpy, scipy, scikit-learn or other deep learning frameworks 
• Cloud experience (AWS) and serverless a plus 
• Hands-on experience with LLMs, RAG architecture, or agent-based systems. 
• A good grasp of software engineering fundamentals and best practices 

Additionally, it would be nice to have:      

• Experience working with the AWS cloud in general and Lambda 
• Familiarity with tools such as Spark/Glue, DBT, Airflow etc.  
• Some familiarity with Elasticsearch and other database technologies 

We will offer you:  

• A competitive base salary and an incentive program;  
• Harver Pension program;  
• 24 days of vacation;  
• Hybrid work schedules with lots of flexibility; 
• Summer Fridays - Take half day off on Fridays to rest and recharge; 
• Monthly connectivity and wellness allowance; 
• The chance to be a part of a high-performing, highly collaborative environment full of people who love what they do and who are dedicated to success;  
• A culture focused on achieving results and transparent communication;  
• A solid, experienced management team invested in your development;  
• An executive team dedicated to the safety and well-being of all team members. 

We are looking for candidates based in the Netherlands within commutable distance to the office in Amsterdam.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.