SPD Technology招聘Senior ML & AI工程师|LinkedIn

PitchBook's Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

Educational Background: You hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field
Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems
Technical Expertise: Proficient in Python and machine learning and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others
Experienced in natural language processing and modern LLM-based techniques
Experience with full ML lifecycle, data preprocessing, training, evaluation stages, and monitoring techniques
Skilled with SQL and data extraction methods
Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI
Collaborator & Communicator: You're an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders
Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have

Reveal great tech solutions
Experience Agile and Flexible Working Environment
Embrace the opportunity for personal and professional growth
Be among like-minded people

SPD Technology brings together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth.

Pre-Screening with the recruiter
Technical interview (up to 90 min)
System Design interview (up to 45 min)
Behavioral Round with Product Manager (45 min)
Final interview with Engineering Manager (30 min)