Senior Geospatial Machine Learning Engineer Jobs

● Production experience utilizing Diffusion-based text-to-image generative models with Python as a base for image generation systems

● Production based experience developing image generative algorithms and large language models

● Production based experience architecting, developing, and deploying production Python applications

● Production experience working with MLOps pipelines

● Strong knowledge of deep learning, natural language processing, and generative AI

● Experience in data processing and analysis, statistical analysis, and data visualization

2-3 years of engineering experience 

Proficient knowledge of Python and SQL 

Experience with containers, Docker and Git 

Experience with cloud platforms (e.g. AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML 

Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark  

Experience working according to agile principles 

Previous Machine Learning experience (5+ years)

Previous experience productionizing NLP models

Strong experience with Python, TensorFlow/ PyTorch

PhD qualification in computer science or equivalent

MS/ PhD in computer Science (related field)

Exposure to data pipeline frameworks (KubeFlow, AirFlow, MLFlow, etc.)

Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;

Bachelor degree in computer science or a related major, with 3+ years of related work experience;

Strong software development experience with C++, Python or other programming language;

Strong communication and teamwork skills;

Deliver end-to-end machine learning solution to address critical product challenges;

Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.

Experience in research and in solving analytical problems

8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects

3+ years experience leading cross-team engineering efforts that improves user experience in products

Strong publication track record and industry experience in shipping machine learning solutions for large-scale challenges

Information regarding the culture at Pinterest and benefits available for this position can be found

Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problems

Experience delivering impact in the domain of Content Recommendation, Text Classification, Knowledge Graphs.

Manage AI/ML projects to achieve the desired outcome promptly

Master or equivalent in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)

5+ years of related industry experience in the data science domain

Experience building and scaling machine learning models in business applications using large amounts of data

Agile development mindset, appreciating the benefit of constant iteration and improvement

Automate model monitoring, model retrain, model deployment process based on business requirement

Outstanding analytical and problem-solving skills; Ability to learn quickly and detail oriented

Experience with machine learning operations

Deep knowledge of math, probability, statistics and algorithms

Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, especially SparkSQL performance tuning

Experience with software DevOps CI/CD tools, such GitLab

• Experience with code versioning and dependency management systems such as GitHub, SVT, and Maven.

Minimum of 2-year experience with Python, Java, Go, or similar development languages.

• Extensive knowledge in different programming or scripting languages like

• Experience with stream processing, e.g. Kafka.

• Demonstrated knowledge of agriculture and/or agriculture-oriented businesses.

• Demonstrated experience adapting to new technologies.

●Hands-on experience with remote sensing tasks such as segmentation and feature extraction over GeoTiff, HDF, or Zarr.

●Hands-on experience with GIS tools (e.g., Apache Sedona, ArcGIS, GeoPandas, QGIS).

●3+ years of experience writing production code in C/C++, Java/Scala, Python or other major programming languages.

●3+ years of hands-on experience with popular Machine Learning/AI software (e.g., TensorFlow, PyTorch, Scikit-Learn).

●Hands-on experience with cloud APIs (e.g., AWS, Azure, GCP)

●BS (or higher) in Computer Science, or a related field