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Senior AI/ML Engineer (2026 Vision)

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to shape the future of artificial intelligence?

At Apex Innovations, we are building the next generation of intelligent systems. We are seeking a visionary Senior AI/ML Engineer to lead our research and development efforts in Natural Language Processing and Generative AI. In this role, you will be at the forefront of technological innovation, designing scalable algorithms that redefine user experiences.

We offer a competitive salary, comprehensive benefits, and a collaborative environment where your ideas can truly make an impact. If you are passionate about pushing the boundaries of what's possible in AI, we want to hear from you.

Why join us?

  • Work with state-of-the-art technology (PyTorch, TensorFlow, LLMs).
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities in San Francisco.
  • Opportunity to mentor junior engineers and shape the engineering culture.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and pipelines.
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers to define product requirements.
  • Conduct research and implement novel algorithms to improve model accuracy and efficiency.
  • Mentor junior engineers and conduct code reviews to ensure high-quality standards.
  • Optimize models for latency, throughput, and resource constraints in production environments.
  • Stay abreast of the latest developments in the AI/ML field and integrate them into our technology stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, C++, or Java.
  • Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, Azure).
  • Proven track record of delivering production-ready AI solutions.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Docker Kubernetes MLOps Agile SQL

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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