Software Engineer, Machine Learning

Granica; Mountain View (CA); On-site; USD 180,000 - 220,000; Full time

Job summary

Granica is seeking a Software Engineer to join their Machine Learning team. The role involves designing and implementing ML systems, optimizing platform performance, and collaborating with various teams to translate research into real-world applications. Candidates should have strong Python skills and experience with ML frameworks.

Benefits

Generous 401(k) with company match

Premium health, dental, and vision coverage

Catered lunch & dinner at our offices

Immigration sponsorship and support

Company hackathons and off-sites

Qualifications

• 4+ years of experience in ML engineering or applied machine learning roles.
• Strong coding skills in Python and experience with ML frameworks like PyTorch, TensorFlow, or JAX.
• Experience with model serving and MLOps tools.

Responsibilities

• Design and implement machine learning systems that drive product features and platform efficiency.
• Productionize ML models for real-time and batch inference in high-throughput environments.
• Drive continuous improvements in model performance, scalability, and deployment efficiency.

Skills

Python

ML frameworks

MLOps tools

Data pipeline tools

CI/CD pipelines

Observability stacks

Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Granica. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $220,000.00/yr

About Granica

Granica is pioneering data‑optimization for large‑scale AI and analytics. Our unified platform slashes storage and compute costs while turbo‑charging data pipelines, empowering enterprises to turn petabytes of raw data into actionable intelligence. Backed by $45 M from NEA and Bain Capital Ventures, we’re scaling fast at the intersection of AI research, distributed systems, and go‑to‑market.

The Team

We’re hiring Software Engineers to join our Machine Learning team, which works at the heart of Granica’s platform. This team partners closely with research, product, and platform engineering to productionize new ML algorithms, optimize platform performance through ML techniques, and fine-tune models for specific customer needs. You’ll also contribute to building and improving internal training, evaluation, and deployment pipelines.

The Role

You’ll help translate research into real-world impact — designing and implementing machine learning systems that drive product features and platform efficiency. You’ll work across the ML lifecycle, from experiment design and training to deployment and monitoring, with an emphasis on production-quality engineering and measurable outcomes.

What You’ll Do

Invent

• Explore ML-driven solutions to increase the compression, performance, and accuracy of Granica’s platform.
• Research and prototype novel approaches to pattern detection, feature modeling, and automated optimization.
• Develop internal experimentation and evaluation frameworks to accelerate model iteration and analysis.

Own

• Productionize ML models for real-time and batch inference in high-throughput environments.
• Fine-tune models to meet customer-specific performance objectives and compliance constraints.
• Design and maintain training and inference pipelines, with built-in traceability, versioning, and monitoring.
• Work closely with Research, Platform, and Product Engineering teams to bring ML innovation to production.
• Engage with customer-facing teams to understand real-world data characteristics and evolving needs.
• Drive continuous improvements in model performance, scalability, and deployment efficiency.

What You Bring

• 4+ years of experience in ML engineering or applied machine learning roles.
• Strong coding skills in Python and experience with ML frameworks like PyTorch, TensorFlow, or JAX.
• Experience with model serving and MLOps tools: TorchServe, TensorFlow Serving, FastAPI, MLflow, or similar.
• Familiarity with data pipeline tools like Apache Airflow, Spark, Kafka, or Ray.
• Experience building CI/CD pipelines and production systems for ML workflows.
• Familiarity with observability stacks (e.g., Prometheus, Grafana, ELK) for monitoring model and system behavior.
• Bonus: Background in data compression, representation learning, or distributed inference is a plus.

Compensation

$180,000 – $220,000 (base) plus meaningful equity. Uncapped accelerators for over‑achievement.

• Generous 401(k) with company match
• Premium health, dental, and vision coverage for you and your dependents
• Catered lunch & dinner at our offices
• Immigration sponsorship and support
• Company hackathons and off‑sites

Granica celebrates diversity and is committed to creating an inclusive environment for all employees.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

Referrals increase your chances of interviewing at Granica by 2x

Sign in to set job alerts for “Software Engineer” roles.

Software Engineer 4 - TV & Web Player Platform

Software Engineer I (Full Time) United States

San Jose, CA $98,600.00-$125,900.00 1 week ago

Sunnyvale, CA $56.25-$173,000.00 2 weeks ago

Menlo Park, CA $56.25-$173,000.00 2 weeks ago

Full Stack Software Engineer (L5) - Partner Device Lifecycle Apps Team

Software Engineer, Early Career 2025 Start

New Grads 2025 - Software Engineer, Algorithm

San Jose, CA $120,000.00-$165,000.00 8 months ago

(General Hire) Software Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)

San Jose, CA $113,500.00-$250,000.00 2 weeks ago

Sunnyvale, CA $117,000.00-$234,000.00 3 days ago

Jr. Software Development Engineer - Sunnyvale, CA

New Grads 2025 - General Software Engineer

San Jose, CA $120,000.00-$165,000.00 3 months ago

Software Engineer(s) - New Grad (Fall 2025 Graduation)

San Jose, CA $113,400.00-$206,300.00 2 weeks ago

Full Stack Software Engineer (L5), Content Security Engineering

eCommerce Full Stack Developer (React / Shopify) - On Site

Full Stack Software Engineer - Post-training

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.