Senior Machine Learning Engineer

26 Minutes ago • 3-5 Years • $116,000 PA - $226,600 PA

Job Summary

Job Description

Calix is seeking a Senior Machine Learning Engineer for a cutting-edge Generative AI project. This role involves designing, developing, and deploying advanced AI models for content generation, natural language understanding, and creative data synthesis. The engineer will optimize models like GPT, VAEs, GANs, and Transformer architectures, preprocess large datasets, and train/fine-tune models for specific use cases. Collaboration with cross-functional teams, experimentation, and deployment into production environments are key aspects, ensuring scalability and reliability of AI solutions.
Must have:
  • Design and implement advanced machine learning models for generative tasks.
  • Optimize generative AI models for performance, efficiency, and scalability.
  • Preprocess large datasets and create synthetic data for model training.
  • Train and fine-tune large-scale generative models using various techniques.
  • Evaluate model performance using metrics and iterate on design.
  • Collaborate with AI researchers, data scientists, and software developers.
  • Conduct research experiments and build prototypes for new algorithms.
  • Deploy generative models into production environments, ensuring robustness.
  • Stay updated with trends in generative AI, machine learning, and deep learning.
  • Bachelor’s, Master’s, or Ph.D. in Computer Science or related field.
  • 3-5+ years focus on Machine Learning.
  • 5+ years overall software engineering in production.
  • Proven experience with generative AI models (GPT, VAEs, GANs, Transformer architectures).
  • Strong hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX).
  • Expertise in Python and libraries (NumPy, Pandas, Scikit-learn).
  • Experience with Natural Language Processing (NLP), image generation, or multimodal models.
  • Familiarity with training and fine-tuning large-scale models.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (Docker, Kubernetes).
  • Strong background in data manipulation, data engineering, and large datasets.
  • Strong coding experience in Python, Java, Go, C/C++, R.
  • Good data skills – SQL, Pandas, exposure to various SQL and no SQL data bases.
  • Solid development experience with dev cycle on Testing and CICD.
  • Strong problem-solving abilities and attention to detail.
  • Excellent collaboration and communication skills.
  • Proactive approach to learning and exploring new AI technologies.
Good to have:
  • Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.
  • Familiarity with distributed training and high-performance computing (HPC).
  • Contributions to AI research communities or participation in AI challenges.
  • Proficiency with Linux, git, Jupyter, IDE.
  • Experience with ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn.
  • Knowledge of GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety and governance.
Perks:
  • Bonus eligibility
  • Comprehensive benefits package

Job Details

Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their their value.

This is a remote-based position that can be located anywhere in the United States or Canada.

Our Products Team is growing and we're looking for a highly skilled Senior Machine Learning Engineer to join our cutting-edge Generative AI project. In this role, you will play a key part in designing, developing, and deploying advanced AI models focused on content generation, natural language understanding, and creative data synthesis. You will work alongside a team of data scientists, software engineers, and AI researchers to build systems that push the boundaries of what generative AI can achieve.

Key Responsibilities:

  • Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications.
  • Optimize Generative AI Models: Enhance the performance of models like GPT, VAEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable.
  • Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training.
  • Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning.
  • Performance Evaluation: Evaluate models’ performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes.
  • Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams including AI researchers, data scientists, and software developers to integrate ML models into production systems.
  • Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications.
  • Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications.
  • Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation.

Qualifications:

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.
  • 3-5+ years focus on Machine Learning.
  • 5+ years overall software engineering in production.
  • Proven experience with generative AI models such as GPT, VAEs, GANs, or Transformer architectures.
  • Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Expertise in Python and libraries such as NumPy, Pandas, Scikit-learn.
  • Experience with Natural Language Processing (NLP), image generation, or multimodal models.
  • Familiarity with training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E).
  • Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (e.g., Docker, Kubernetes) for deploying machine learning models.
  • Strong background in data manipulation, data engineering, and working with large datasets.
  • Strong coding experience in Python, Java, Go, C/C++, R.
  • Good data skills – SQL, Pandas, exposure to various SQL and no SQL data bases.
  • Solid development experience with dev cycle on Testing and CICD.
  • Strong problem-solving abilities and attention to detail.
  • Excellent collaboration and communication skills to work effectively within a multidisciplinary team.
  • Proactive approach to learning and exploring new AI technologies.

Preferred Skills:

  • Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.
  • Familiarity with distributed training and high-performance computing (HPC) for scaling large models.
  • Contributions to AI research communities or participation in AI challenges and open-source projects.
  • Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn.
  • GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety and governance.

The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.

San Francisco Bay Area:

133,400 - 226,600 USD Annual

All Other US Locations:

116,000 - 197,000 USD Annual

As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.

About Us

Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

This is the Calix mission - to enable CSPs of all sizes to Simplify. Innovate. Grow.

To learn more, visit the Calix web site at www.calix.com

To learn more about our international job opportunities, please visit our International Careers Page

If you are a person with a disability needing assistance with the application process please:

Calix is a Drug Free Workplace.

You may access a copy of Calix Candidate Privacy Policy HERE and other Calix Privacy Policies HERE.

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About The Company

Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences. This is the Calix mission - to enable CSPs of all sizes to Simplify. Innovate. Grow. To learn more, visit the Calix web site at www.calix.com To learn more about our international job opportunities, please visit our International Careers Page If you are a person with a disability needing assistance with the application process please: Email us at calix.interview@calix.com; or Call us at +1(408) 514-3000.

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