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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Apex Innovations is on the lookout for a visionary Senior Machine Learning Engineer to join our elite engineering team. We are pushing the boundaries of artificial intelligence and are seeking a technical leader who thrives in a fast-paced, high-impact environment. If you are passionate about building scalable systems and have a deep understanding of modern ML architectures, we want to hear from you.


In this role, you will not only design and implement cutting-edge models but also mentor junior engineers and drive the technical vision for our core products. You will be working with state-of-the-art technologies and collaborating with cross-functional teams to deliver solutions that redefine user experiences.

Responsibilities

  • Design, build, and deploy scalable machine learning models and MLOps pipelines using cloud-native technologies.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and resource efficiency to handle millions of requests per day.
  • Conduct rigorous A/B testing and model evaluation to ensure high-quality production outputs.
  • Drive the adoption of best practices in code quality, documentation, and software engineering methodologies.
  • Mentor junior engineers and provide technical guidance on algorithm selection and system architecture.

Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, AI, or data science roles.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Extensive experience with big data technologies (e.g., Spark, Kafka, Hadoop) and cloud platforms (AWS/GCP/Azure).
  • Deep understanding of statistical modeling, NLP, or Computer Vision (depending on specialization).
  • Proven track record of shipping production-level machine learning systems.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch MLOps AWS Spark NLP Computer Vision SQL

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