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Scala Ml Engineer Jobs (NOW HIRING)

Software Engineer, ML Infrastructure

California, MO Β· On-site

$154K - $183K/yr

Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud ... Strong programming skills in Python, Java, Scala or C++ * Strong problem‑solving skills with a ...

Senior ML Ops Engineer

Philadelphia, PA Β· On-site

$99K - $137K/yr

Required : β€’ Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. β€’ Strong Python, Java, and/or Scala experience will be considered a plus ...

Senior ML Ops Engineer

Philadelphia, PA Β· On-site

$99K - $137K/yr

Required : β€’ Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. β€’ Strong Python, Java, and/or Scala experience will be considered a plus ...

Lead AI/ML Engineer (Platform, kubeflow)

Mclean, VA Β· On-site

$103K - $136K/yr

Lead AI/ML Engineer (Platform, kubeflow) Overview At Capital One, we are creating responsible and ... At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications ...

Senior ML Engineer

Addison, TX Β· On-site

$101K - $138K/yr

Proficiency in programming languages such as Python, Java, or Scala. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of ...

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How much do scala ml engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for scala ml engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What are popular job titles related to Scala Ml Engineer jobs?

For Scala Ml Engineer jobs, the most frequently searched job titles are:

Software Engineer, ML Infrastructure

California, MO β€’ On-site

$154K - $183K/yr

Other

Posted 24 days ago


Job description

Responsibilities
  • Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
  • Build and enhance feature generation and serving pipelines that power online inferencing and offline training data generation
  • Develop high-performance inference systems to ensure fast and efficient AI model serving
  • Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
  • Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
  • Work closely with ML engineers to deploy cutting‑edge models into production
  • Utilize AI tools and high-velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production‑ready quality code
Requirements
  • Bachelor’s degree in a technical field such as computer science or equivalent experience
  • 2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post‑grad software development experience; or PhD in a relevant technical field
  • Experience building large‑scale production machine learning systems, distributed systems or big data processing
  • Strong programming skills in Python, Java, Scala or C++
  • Strong problem‑solving skills with a focus on system performance, scalability, and efficiency
  • Good understanding of distributed systems and the infrastructure components of large‑scale ML
  • Experience with big data processing frameworks such as Spark, Flink, or Ray
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