NLP Engineer – Ecliptic Data Team

The Ecliptic Data Team is seeking a highly motivated NLP Engineer with expertise in deep learning frameworks. This role is ideal for candidates eager to expand their skills in the financial industry while developing cutting-edge models to process large-scale unstructured datasets.

Responsibilities

As an NLP Engineer, you will:

- Develop state-of-the-art deep learning models to process and extract insights from large-scale unstructured datasets.

- Engage with data vendors to understand dataset characteristics and evaluate their relevance.

- Analyze datasets, generate descriptive statistics, and identify potential applications.

- Conduct preliminary research and evaluations for presentation to Portfolio Managers.

- Explore and implement new technologies for efficient data management and retrieval.

Requirements

- PhD or Master’s degree in computer science, data science, statistics, or a related quantitative discipline. *(A bachelor’s degree with extensive relevant work experience will also be considered.)*

- 3+ years of experience in NLP, computer vision, speech processing, or a related field.

- Extensive experience with deep learning frameworks such as TensorFlow and PyTorch.

- Strong understanding of modern language model architectures, with hands-on experience in model implementation and training.

- Proficient coding skills in Python and SQL programming experience.

- Experience working with large datasets and optimizing data pipelines.

- Strong communication skills, both written and verbal.

- Ability to work collaboratively as part of a high-performing team.

- Financial industry experience is preferred but not required.

- Candidates with publications in top machine learning conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are highly preferred.

- Commitment to the highest ethical standards.

Compensation & Benefits

- Annual base salary: $150,000–$200,000 (USD) *(excluding discretionary bonuses and benefits)*

- Comprehensive benefits package, including:

  - Fully-paid healthcare benefits

  - Generous parental and family leave policies

  - Mental and physical wellness programs

  - Volunteer opportunities

  - Non-profit matching gift program

  - Employee-led affinity groups supporting women, minorities, and the LGBTQ+ community

  - Tuition assistance

  - 401(k) savings program with employer match