Quantitative Software Engineer: Generative AI

Two Sigma

New York (NY)

Hybrid

USD 165,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Fully paid medical and dental insurance
Tuition reimbursement
Flexible in-office days
Onsite gyms and wellness activities

Job summary

A leading quantitative investment firm in New York seeks a skilled Machine Learning Engineer with a strong NLP and LLM background. The ideal candidate will lead research initiatives using generative AI and implement scalable systems in data-rich environments. Applicants should have experience in deploying machine learning solutions with a focus on Python frameworks. This role offers competitive compensation, including comprehensive benefits and a hybrid work policy.

Qualifications

  • Minimum 1 year and up to 10 years of experience in machine learning solutions, preferably in NLP and LLMs.
  • Demonstrated success translating research into practical solutions.
  • Engagement with trends in generative AI.

Responsibilities

  • Lead applied research initiatives using generative AI technologies.
  • Implement scalable machine learning and NLP systems.
  • Collaborate with modeling partners on NLP research.

Skills

Natural language processing
Machine learning
Deep learning frameworks
Python
Research translation

Education

BS in Computer Science or related field

Tools

PyTorch
TensorFlow

Job description

Position Summary

Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting‑edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.

Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems.

The News Engineering Team is looking for a Machine Learning Engineer with a strong background in NLP and LLMs. Our team’s vision is to collect, organize and monetize the world’s unstructured data, including news, social media and regulatory filings. To that end we develop:

  • A platform for interactive research, backed by a one‑petabyte corpus of unstructured data
  • A system for automatic signal mining, evaluating research hypotheses end‑to‑end
  • NLP and LLM services, using a variety of techniques across our research tools and production pipelines
  • Data pipelines, delivering millions of events to production systems every day
Responsibilities
  • Lead applied research initiatives using groundbreaking generative AI technologies
  • Implement and maintain scalable machine learning and NLP systems in data‑intensive production environments
  • Collaborate with modeling partners to prototype and iterate in emerging NLP research areas
Qualifications
  • Minimum 1 year of experience required; 3–10 years of experience preferred developing and deploying machine learning solutions, preferably in the areas of NLP and LLMs
  • BS in Computer Science, Machine Learning, or related technical field (advanced degrees and/or ML publications highly desired)
  • Demonstrated success translating research publications into practical solutions
  • Proficiency with popular natural language processing and deep learning frameworks in Python (PyTorch, TensorFlow, etc.)
  • Proven track record of thriving in multifunctional, fast‑paced environments
  • Ongoing engagement with emerging trends, research, and applications in generative AI
Benefits
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401(k) match, employer‑paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in‑office days with budget for home‑office setup

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

We are proud to be an equal‑opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws. If you believe you need an accommodation, please visit our website for additional information.

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