Machine Learning Engineer
1 month ago
Job type: Full-time
Hiring from: Anywhere
Category: Software Development
Triplebyte is transforming the way software engineers are hired. Our mission is to build an open, valuable and skills-based credential for all engineers and data scientists. This is important because millions of people have skills (and deserve good jobs), but don’t fit the profile that recruiters seek. We aim to cut out that noise by matching opportunities to people who have the skills to succeed in them - regardless of their background.
Companies like Apple, Dropbox and American Express trust Triplebyte’s technical assessment to identify the best engineers for their open roles and reduce the time and effort it takes to hire them.
We raised a $35 million Series B and our team of 64 is growing! We're building out the leadership of our team to help us scale to the next phase.
You can read more about our company and hear from our founders in the press here:
Triplebyte screens and evaluates thousands of engineers per month to find the best candidates for our partner companies. Human decision making doesn’t work at our scale; our marketplace is powered by automated assessment and decision making. Triplebyte has three cornerstone ML products: our quiz, our interview, and our matchmaking. As a machine learning engineer, you’ll be responsible for the end-to-end process of designing and running experiments to serving production models at scale. Some of our pipelines use off the shelf components, but we’re also implementing custom models and techniques from the latest research papers. We’re also building forecasting tools for internal teams to measure and predict outcomes. This is an ideal role for an engineer or data scientist who wants the scope and responsibility to own features/products from the inception and research phase through to measuring real-world results.Fields your work will touch on
- Recommender systems
- Time series analysis
- Survival analysis
- Bayesian inference
- Probabilistic programming
- Robust exploratory/experimental skills. We have a novel dataset of candidate profiles and interview outcomes from our candidate screening process and our hiring marketplace. You’ll be responsible for designing and evaluating experiments to predict downstream outcomes.
- Ability to implement models from research. Some of our best improvements in both speed and predictiveness has come from doing literature surveys and implementing novel techniques from research papers.
- Engineering skills. This is a hybrid research/engineering role. You’ll be responsible for productionizing your pipelines/models and integrating against our back-end services.
Compensation and Benefits
Competitive salary and stock options package
Open vacation policy
Employer paid health, vision and dental insurance
401(k) plan with matching
Pre-tax commuter benefits
Daily catered lunches
The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company does not discriminate against employees or applicants (in any aspect of employment, including, but not limited to recruiting and hiring, job assignment, compensation, opportunities for advancement, promotion, transfers, evaluation, benefits, training, discipline, and termination), on the basis of any characteristic protected under applicable federal, state, or local laws.
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This job has a geo-restriction in place: Anywhere.
Please mention that you come from Remotive when applying for this job.
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