Senior Machine Learning Engineer - Remote, Quant Trading

Voleon; Berkeley (CA); Hybrid; USD 290,000 - 395,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

20 days of paid time off

401(k) plan with company match

Job summary

The Voleon Group is seeking a Senior Machine Learning Engineer in Berkeley, California. This full-time remote position involves partnering with research teams to develop quantitative trading strategies, building data pipelines, and creating production-quality code. Candidates should have a Bachelor's degree in a quantitative field and over 5 years of experience in software engineering, particularly with strong Python skills. The role offers a competitive base salary between $290K and $395K along with generous benefits.

Qualifications

• 5+ years of professional software engineering experience.
• Demonstrated mathematical maturity in statistics, linear algebra, optimization, and probability.
• Strong verbal and written communication skills.

Responsibilities

• Partner with PhD researchers to design and implement machine learning models.
• Develop and maintain complex data pipelines including data ingestion.
• Translate research prototypes into production-ready code.

Skills

Python

Machine Learning

Data Structures

Algorithms

Statistics

Deep Learning

Linux

Communication Skills

Numerical Libraries

Education

Bachelor's degree in Computer Science, Applied Mathematics, Statistics, or related field

Tools

NumPy

Pandas

SciPy

scikit-learn

PyTorch

TensorFlow

Job description

The Voleon Group is seeking a Senior Machine Learning Engineer in Berkeley, California. This full-time remote position involves partnering with research teams to develop quantitative trading strategies, building data pipelines, and creating production-quality code. Candidates should have a Bachelor's degree in a quantitative field and over 5 years of experience in software engineering, particularly with strong Python skills. The role offers a competitive base salary between $290K and $395K along with generous benefits.