Braintrust is hiring a

Web3 Machine Learning Engineer (Python/Scala/Hadoop/Hive) [REMOTE]

This is a W2/salaried contract. The pay rate reflects the fact it's a W2 engagement.

Responsibilities
• Ability to write robust code in one or more of Python, Java and Scala
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Experience using Amazon Web Services (EC2, S3 etc) with data at scale
• Proficient in core technologies like Spark, Hadoop and Hive.
• Excellent communication skills
• Ability to work in a team
• Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data pipelines.
• Develop and tune model training and inference systems.
• Complete documentation and procedures for installation and maintenance.
• Actively participate in group technology reviews to critique work of self and others.
• Work collaboratively with all members of technical staff. Collaborate with data scientists, program managers, and product managers in the development of assigned components.
• Participate in and provide input to requirements definition.
• Run machine learning tests and experiments
• Implement appropriate ML algorithms
• Study and transform data science prototypes
• Research and implement appropriate ML algorithms and tools
• Select appropriate datasets and data representation methods
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks Qualifications
• Proven experience as a Machine Learning Engineer or similar role: 4-5 years of experience in software development.
• Understanding of data structures, data modeling and software architecture
• Knowledge of math, probability, statistics and algorithms
• Knowledge of streaming platforms like Kafka and Kinesis.
• Basic knowledge of various ML model platforms.
• Experience standing up model inferencing API endpoints.
• Exposure to No SQL databases like MongoDB.
• Experienced in using SQL for querying data from relational tables.
• Excellent analytical and problem solving skills with an aptitude for troubleshooting issues.
• Degree with strong technical focus (Computer Science, Engineering).

Apply Now!

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