Senior Machine Learning Engineer to Alva Labs
Ever applied for a job that suited you perfectly, but didn’t even get a call-back for a first interview? Yeah, it has happened to most of us. But sadly, it often happens for the wrong reasons. For instance, you have a 60% less chance to get a callback if you have an Arabic-sounding name. If it was for a leadership role, you are less likely to get it if you are a woman, or if you are short (yes, you read that correctly, short!).
But it doesn’t have to be like this. There are alternatives to hire based on the stuff that really matters, based on who the person behind the CV is. Alva is one of those alternatives. We are now looking for a Senior Machine Learning Engineer that can help us drive growth, and help our customers to start implementing the future of hiring, today! 🚀
Alva Labs offers a SaaS solution that is helping global companies hire in a scientific way. Our unique candidate assessment platform helps companies build their organizations with the right people in the right place. By combining state-of-the-art psychometrics, data science, and an obsession with candidate experience, we provide an industry-leading tool for data-driven talent acquisition.
We have been growing 2-3x yearly and are now focusing on international expansion and making the next big product bet that will revolutionize how the world views talent.
Our psychometric assessments are truly the core of the Alva product. Test development at Alva is built on top of strong scientific findings in the area of personnel assessment and selection. We rely on a data science toolbox in Python (NumPy, Pandas, Scipy, Matplotlib) and SQL (BigQuery) to manipulate, analyze and visualize data. Our models are implemented in the probabilistic programming languages PyMC and NumPyro and we use cutting-edge sampling techniques to estimate item parameters.
As we grow, we need to scale up our testing capabilities. Among other things, this means refining, packaging, and scaling up our internal psychometric software.
The main areas of responsibility will include:
Develop robust and scalable data processing and modeling projects.
Automate parts of the test development process.
Develop and improve algorithms for estimation of psychological traits and abilities.
Collaborate with software engineers, data analysts, people scientists, sales representatives and customer success managers.
To be a fit for this role, you have studied quantitative methods in any field with a substantial degree of complexity and statistical uncertainty (e.g. psychology, economics, political science, physics, biology). You have worked with real data, ideally in large volumes, and appreciate the importance of automation, testing, and reproducibility for data processing.
Other things that make you a qualified candidate are:
Solid knowledge in Python and SQL.
Curious and strong learner.
Reliable - complete what you take on with high standards for quality.
Self-motivated - able to work independently.
Strong communicator - able to explain complex statistical concepts in a digestible way to various stakeholders.
Bonus requirements that will make you stand out:
Experience in Bayesian modeling using Stan, PyMC, NumPyro, Turing, BlackJAX, or any other probabilistic programming language is highly meriting.
Knowledge in modern test theory (Item Response Theory / Latent Trait Theory) is meriting.
Your future colleagues
We are in total a team of 80ish people, representing 18 different nationalities and a wide selection of professional backgrounds. We are based in central Stockholm - but apply a hybrid remote work setup - with a collective and extensive experience in building and growing tech companies, psychology, psychometrics, data science, engineering, and product design.
Why join Alva?
The problem we are solving has a tremendous impact on both people and businesses. You will have the opportunity to work with something that truly makes a difference. We are now entering an exciting phase of our company journey, and this role will be central to where we go next!
Besides, we have flexible work hours, where you can decide for yourself what works best for you. You will get 7 weeks of vacation, an on-market salary, a generous preventive care benefit, and a few other neat perks. You can read all about our benefits → here ← and our company values → here ←.
The hiring process
Given that we claim to be experts in hiring, you probably wonder what we have in store for you.
Objective screening with Alva’s own tests
First interview with HR (focusing on who you are)
Data science challenge
Technical interview with hiring manager
Final interview with COO
Background & ID check (yes, we take security seriously)
Offer and toast in bubbles!
Come help us change the world of hiring!
Welcome to Alva!