Talantix.io
Latitude AI•06.03.26
AI SCORE 8.5

Senior Software Engineer - ML Platform (Remote)

$179K–$269K/year
RemoteAI/Big DataVisa
Python•FastAPI•AWS•GCP•Terraform•Kubernetes•SQL•High-Performance Computing

About the Role

Join Latitude AI as a Senior Software Engineer - ML Platform, where you'll contribute to the development of cutting-edge automated driving technologies. This Senior Software Engineer - ML Platform remote position allows you to work with leading experts in machine learning, robotics, and cloud platforms, making a significant impact on the driving experience for millions.

What You'll Do

  • Drive innovation on the BlueMind ML Platform, enhancing a critical tool for ML experiment tracking and execution.
  • Engage with diverse ML teams to capture requirements and implement high-quality solutions.
  • Tackle complex technical challenges, focusing on accelerating product launch goals.
  • Develop and own full-stack features, including web APIs, React applications, and integration solutions.
  • Collaborate across engineering boundaries to ensure smooth deployment and support of foundational ML platforms.

Requirements

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field, with 4+ years of relevant experience.
  • Strong full-stack software engineering experience, particularly with Python and frameworks like FastAPI.
  • Familiarity with distributed machine learning tools such as PyTorch and DDP.
  • Experience with cloud infrastructure (AWS, GCP, Terraform, Kubernetes).
  • Solid architecture and design skills, with experience in SQL databases and high-performance computing environments.

Nice to Have

  • Experience with workflow automation frameworks (e.g., Airflow, Dagster).
  • Knowledge of Java, TypeScript, and JavaScript frameworks (e.g., React).
  • Familiarity with build tools like Bazel and Gradle.

What We Offer

  • Competitive compensation packages and high-quality medical, dental, and vision insurance.
  • Employer-matched 401(k) retirement plan with immediate vesting.
  • Unlimited vacation and 15 paid holidays.
  • Daily lunches, snacks, and beverages available in all office locations.
  • Professional development reimbursement and wellness stipends.

Join our team and help us transform the future of driving with innovative automated driving technologies!

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Software Engineer role at Latitude AI offers a unique opportunity to work remotely on innovative ML platforms, with competitive compensation and extensive benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and FastAPI, with hands-on experience building scalable web services for machine learning applications, particularly in automated driving technologies.

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Strong knowledge of cloud infrastructure, specifically AWS and GCP, with practical experience in deploying machine learning models using Terraform and Kubernetes for orchestration.

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A proactive problem solver with a deep understanding of high-performance computing, capable of optimizing computational resources for large-scale ML workloads in a fully remote environment.

Learning Resources

→FastAPI Documentationguide
→AWS Certified Solutions Architect – Associate 2023course
→Kubernetes Basicsarticle

Career Path

Senior Software Engineer - ML Platform(Now)→Lead Software Engineer - ML Solutions(1-2 years)→Engineering Manager - ML Infrastructure(3-5 years)

Market Overview

Market Size 2024
$39B
Annual Growth
24.5%
AI Adoption
50%
Investment
+120%
Labour Demand
+35%
Avg Salary
$145K

Skills & Requirements

Required
PythonFastAPIAWS
Growing in Demand
Machine LearningData EngineeringCloud Architecture
Declining
jQueryPHP

Domain Trends

Rise of MLOps
The adoption of MLOps practices is increasing, with 70% of organizations implementing MLOps to streamline machine learning workflows.
Shift to Serverless Architectures
Approximately 45% of companies are transitioning to serverless architectures, leading to increased demand for skills in AWS Lambda and Google Cloud Functions.
Integration of AI in Software Development
AI tools are being integrated into the software development lifecycle, with 60% of developers using AI-assisted coding tools to enhance productivity.

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