Truera, Inc. is an early stage startup commercializing research in explainable machine learning. We are working to help humans understand ‘why’ machine learning models behave the way they do in order to address algorithmic bias and discrimination and to help people make better decisions with AI. Our team has a strong research DNA with ties to CMU and Stanford, and engineering DNA with infrastructure and machine learning engineers from Google, Microsoft, and enterprise startups.
We’re looking for a Machine Learning Engineer to join our engineering team. Our tools are currently being used by large banks and insurance companies to identify and address unjust bias in their models as well as improve the overall quality of their models. Machine Learning Engineers may work on expanding our explainability technology to various neural network models as well as other questions regarding model monitoring and stability. They will also work to bring research into production.
All engineers at Truera get an in-depth view of machine learning approaches and stacks from a wide spectrum of industries as well as opportunities to develop models as part of client engagements, integration testing and engineering explorations. ML Engineers at Truera will be a part of product discovery and creation through evaluating the top research, academic, and industry use cases.
What to expect
- Work on projects that directly influence our enterprise and consumer offerings with expectations of developing code that ships.
- Create products that will guide the rapidly evolving field of explainability (XAI) and how AI is applied in industry settings.
- Solve exciting and challenging technical problems related to explainability and trust.
- Experience what it is like to be a part of a fast-growing, early startup.
Welcomed Qualifications
- Degree in Machine Learning or similar
- Past internship/work experience with machine learning frameworks (scikit-learn, Tensorflow/PyTorch/Keras etc.) and other data science tools
- Research experience in machine learning or related field
- Excellent quantitative, analytical and communication skills
- Excellent programming skills and algorithmic thinking
** We have listed some responsibilities and experience guidelines, but do not consider these as set in stone—talent and passion for what we’re working on are the most important.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Truera are considered property of Truera and are not subject to payment of agency fees.
