Data Scientist (Deep Learning)

Job Summary

Bedrock (ARV) is seeking data scientists to join our Applied Machine Learning (AML) team. We are a multidisciplinary
team with a combination of (but not limited to) the following areas: machine learning, statistics, software development
and data science. The ideal candidate will have an exceptionally strong background in one of the areas above, with a
passion to learn new things. The AML team at Bedrock (ARV) works toward taking these skills and applying them to
building cutting-edge AI applications, many times involving geospatial and location intelligence space.

As a data scientist for AML, your role is to solve challenging real-world problems using our exciting and massive
multimodal data (e.g., text, image, video, and other proprietary data) and state-of-the-art machine learning platforms.
You will work with an experienced group of machine learning engineers, data scientists, and business stakeholders,
with a strong product ownership from research to production.

Duties and Responsibility

N/A

Key Measurement

N/A

Education

Experience

• A bachelor’s degree in computer engineering, computer science, mathematics, statistics, or a related field.
• Strong passion in building cutting-edge machine learning algorithms or models to solve real-world problems.
• Experience and exposure in Advanced Computer Vision, Image processing and Machine Learning, NLP, LLM.
• Strong programming skills in Python such as Scikit-learn, Pandas, LLM tools, etc.
• Experience with deep learning libraries (e.g., PyTorch, TensorFlow etc.) and deep learning models/algorithms.
(e.g., CNNs, RNNs, attention, transformers etc.)
• Experience building high-quality predictive models. (classification, regression)
• Strong written and verbal communication skills.
• Strong analytic and innovative minds, as well as self-awareness and growth mindsets.

Skills and Abilities

Nice to Have

• A Master or Ph.D. degree in computer engineering, computer science, mathematics, statistics, or a related
field.
• Experience as a data scientist for 1 year.
• Production-grade code quality.
• Good understanding of how to design experiments and choose/construct the right metrics for
engineering/business success.
• Industry experience building/owning end-to-end AI applications or data products.
• Knowledge of structure and semi-structure databases such as SQL, PostgreSQL, and Elasticsearch.
• Experience with big data technologies such as Spark, Hive, etc.
• Software engineering skills.
• Good understanding of MLOps and AWS cloud tools.

Competencies

Skills