Job details

Machine Learning Engineer

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Baselayer, a fast-growing company revolutionizing fraud prevention and compliance for financial institutions, is looking for an exceptional mid-level Machine Learning Engineer.

Skills

Machine learning development
Python programming
Data processing and feature engineering
ML system design and architecture
Model governance and compliance

Responsibilities

Build and maintain ML models and integrate them with various data sources.
Architect and design core ML services that support KYC/KYB processes.
Develop and maintain robust data pipelines for feature extraction and transformation.
Implement and experiment with advanced ML techniques to improve LLMs.
Build and maintain infrastructure for model training, evaluation, and deployment.
Ensure ML systems meet industry standards for fairness and compliance.
Implement optimizations for model inference and training.
Design and conduct experiments to evaluate model performance.

Education

Bachelor's in Computer Science or related field
Relevant certifications in machine learning or data science

Benefits

Flexible PTO
Healthcare coverage
401K
Work with a smart and ambitious team

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Average salary estimate

$187500 / YEARLY (est.)

min

max

$150000K

$225000K

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What You Should Know About Machine Learning Engineer, Baselayer

Join Baselayer as a Machine Learning Engineer and become a pivotal part of a revolutionary company transforming how businesses tackle fraud prevention and compliance in the financial sector. Located in the vibrant city of San Francisco, Baselayer was founded by industry veterans and has rapidly made its mark by raising $20 million and serving over 2,000 financial institutions within a short span. We are looking for someone with 1-3 years of experience in machine learning development, who is eager to roll up their sleeves and contribute to cutting-edge AI solutions. At Baselayer, you'll work on a variety of tasks, from building and maintaining ML models to architecting core ML services designed around KYC/KYB processes. This role involves collaborating with large-scale data, and you're encouraged to experiment with innovative techniques such as reinforcement learning from human feedback (RLHF). Our culture promotes ownership and trust, making it an ideal environment for a proactive self-starter. With benefits like flexible PTO, hybrid work options, and a competitive salary ranging from $150k to $225k plus equity, it's never been a better time to apply. If you're intelligent, detail-oriented, and ready to take on challenges in machine learning with a smart, genuine, and ambitious team, Baselayer wants to hear from you!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Baselayer

What are the responsibilities of a Machine Learning Engineer at Baselayer?

As a Machine Learning Engineer at Baselayer, your primary responsibilities include model development and integration, ML system design, data processing, and feature engineering. You will architect core ML services to support KYC/KYB processes, implement advanced ML techniques, maintain robust data pipelines, and ensure model governance and compliance with industry standards.