Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud™, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands.
Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision-making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable.
Responsibility
- You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems that powers the Aera platform.
- You will be working in a highly-collaborative environment with other experts in data science and engineering.
- Transform business problems into data problems.
- Research and build statistical/machine-learning models.
- Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management.
- Collaborate with other team members to build data-science products and services using the Aera platform.
About You
- Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred.
- 4+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting.
- Hands-on experience with software development, including translating ML models into scalable production services.
- Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach.
- Strong in Python.
- Experience in Full-Cycle Data Science projects.
- Experience in implementing machine learning algorithms using libraries such as scikit-learn, PyTorch, Tensorflow.
- Hands-on experience with software development, including translating ML models into scalable production services.
- Experience in working with large data sets and distributed systems for machine learning such as Dask and Ray.
- Familiarity with Large language models, multi-agent frameworks and RAG applications.
- Excellent verbal and written communication skills.
- You take complete ownership of your work and are self-driven.
If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this!
Aera Technology is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Benefits Summary
At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits, and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You’ll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you’re working from the office, you’ll also have access to a fully-stocked kitchen with a selection of snacks and beverages.
