Machine Learning Engineer
Machine Learning Engineer
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1 Vacancy
Job Description
A CAREER WITH POINT72s COMPLIANCE PRODUCT DEVELOPMENT TEAM
As Point72 reimagines the future of regulatory technology our Compliance Product Development team strives to deliver best in class compliance and surveillance tools in support of our Firms holistic surveillance program. Our work involves evaluating a broad range of technologies doing custom development and integrating with multiple upstream and downstream data sources and systems. We focus on innovation and excellence in a fastpaced dynamic and collaborative working environment.
What youll do
We are seeking a machine learning engineer who will play a critical role in building productionready applications that support our front office investment professionals. We are interested in all aspects of ML including predictive modelling clustering time series analysis and natural language processing. Successful engineers manage all aspects of the research process including methodology selection data collection and analysis implementation and testing prototyping and performance evaluation. You will apply adapt and extend existing results in the broad field of machine learning while also conducting novel research as required.
- Contribute to projects across various ML disciplines including Natural Language Processing (NLP) unstructured data analysis predictive modeling and classic machine learning.
- Work with sparse data and apply techniques to improve model accuracy and generalization.
- Utilize SpaCy Hugging Face Transformers PyTorch TensorFlow and other NLP frameworks for model development.
- Implement MLOps strategies including model versioning automated retraining monitoring and CI/CD pipelines for ML workflows.
- Conduct data evaluation including data preprocessing feature engineering and model performance assessment.
- Collaborate crossfunctionally with data engineers software developers and product teams to integrate models into production systems.
- Stay up to date with the latest advancements in NLP and machine learning applying new techniques as needed.
Whats REQUIRED
- 5 years of experience in machine learning and NLP.
- Experience working in a Linux environment.
- Strong proficiency in Python and experience with ML frameworks such as PyTorch TensorFlow and Scikitlearn.
- Handson experience with SpaCy Hugging Face and Transformers for NLP applications.
- Expertise in working with sparse data and applying techniques such as data augmentation weak supervision and semisupervised learning.
- Experience deploying and managing ML models in cloudbased environments (e.g. AWS SageMaker).
- Strong understanding of MLOps principles including automated model retraining performance monitoring and infrastructure scaling.
- Experience with data evaluation techniques model explainability and error analysis.
- Solid grasp of NLP concepts including tokenization embeddings attention mechanisms and transformerbased architectures.
- Experience finetuning largescale NLP models and LLMs.
- Familiarity with knowledge graphs and graphbased NLP techniques.
- Background in unsupervised learning or selfsupervised learning for NLP.
- Commitment to the highest ethical standards
We take care of our people
We invest in our people their careers their health and their wellbeing. When you work here we provide:
- Fullypaid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employeeled affinity groups representing women people of color and the LGBT community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industrys brightest talent by cultivating an investorled culture and committing to our peoples longterm growth. For more information visitwww.Point72/about
Employment Type
Full Time
