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BJ

Bjak

via Ashby

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Senior AI/ML Software Engineer

Anywhere
Full-time
Posted 12/3/2025
Direct Apply
Key Skills:
Python
Machine Learning
TensorFlow
PyTorch
Scikit-learn
ML Model Deployment
API Development
Cloud ML Platforms
Data Preprocessing
Feature Engineering

Compensation

Salary Range

$90K - 130K a year

Responsibilities

Design, build, and deploy machine learning models and infrastructure for AI-powered financial services products.

Requirements

Bachelor's degree in a technical field, 2-4 years ML or backend software development experience, proficiency in Python and ML frameworks, and experience with ML workflows and deployment.

Full Description

Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we use AI to make insurance and financial services easier to access, understand, and afford for millions of users. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a fully remote role, working closely with cross-functional teams across regions. You’ll join a fast-paced, flat engineering environment where your execution and ideas shape real-world outcomes every day. Why This Role Matters Your work will directly improve user experience, efficiency, and platform intelligence You’ll contribute to production-grade AI systems that support millions of users You’ll collaborate across product, data, and engineering to build scalable ML tools end-to-end You’ll grow quickly in a lean, high-impact environment What You’ll Do Work with product, data, and engineering teams to define ML goals and technical strategies Design, build, and deploy machine learning models for personalization, automation, and insights Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment Build scalable ML infrastructure and deployment pipelines Integrate ML outputs into user-facing products and backend systems Stay up-to-date with AI/ML research trends and apply relevant innovations Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... Take full ownership and ensure the models you build drive real-world results Are a self-starter who can figure things out even with ambiguity Move with urgency — ship fast, iterate faster Own problems end-to-end, from messy data to deployment Bring a humble, collaborative, team-first attitude Stay calm in fast-changing, high-growth environments Learn obsessively and share openly Requirements Bachelor’s degree in Computer Science, Data Science, Engineering, or any related technical field Strong proficiency in Python 2–4 years of experience in machine learning or backend software development Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiarity with model deployment, API development, or real-world ML product integration Experience with Jupyter, Colab, or cloud-based ML platforms Strong analytical, problem-solving, and communication skills Comfortable working remotely and collaborating across time zones Nice to Have Experience with NLP, computer vision, or recommendation systems Familiarity with AWS, GCP, or Azure Exposure to Docker, Git, or CI/CD pipelines Background in high-growth startups or agile product teams What You’ll Get Competitive salary and performance-based bonuses Flexible, fully remote work arrangement Direct impact - your work reaches millions of users Flat, transparent team environment Opportunities for rapid personal and technical growth Cross-regional collaboration and exposure About BJAK BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection. We simplify financial services through AI, automation, and smart APIs, and we're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale — and thrive in a high-impact, mission-driven team - we’d love to hear from you.

This job posting was last updated on 12/5/2025

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