Sr Machine Learning Engineer – Multi-modal

Washington

  Machine Learning

Permanent

Our client stands at the forefront of AI-driven retail innovation, transforming shopping experiences with cutting-edge technology. Their mission is to revolutionize the retail industry by crafting personalized and immersive journeys for each shopper.

They are hiring a Senior Machine Learning Engineer with expertise in Language and Multimodal Models to lead the development of advanced AI systems integral to their solutions. The successful candidate should excel in overcoming challenges in large-scale machine learning and be enthusiastic about pioneering AI in the retail sector. 

Responsibilities:

  • As a Senior Machine Learning Engineer, you will be responsible to create and refine language models and multimodal AI systems to elevate user experience and personalization.
  • You will architect, execute and seamlessly integrate AI models into the organization’s production environment.
  • Conduct research, applying relevant ML algorithms and tools, particularly focusing on NLP and multimodal applications.
  • Carefully choose and preprocess datasets, ensuring high data quality and representativeness.
  • Execute thorough tests and experiments on ML models, statistically analyze results, and fine-tune models based on findings.
  • Continuously enhance and update existing ML models and frameworks.
  • Foster collaborative efforts with software engineers, data scientists, and product managers to seamlessly integrate AI solutions into their product offerings.

Skillset:

  • Over 7 years of hands-on experience in Machine Learning Engineering, with a recent emphasis on deploying language and multimodal models.
  • MA or BA degree in Computer Science, Mathematics, Computational Linguistics, or a related field.
  • In-depth expertise in data structures, data modeling and software architecture.
  • Advanced proficiency in Natural Language Processing (NLP) and language model development, including BERT and GPT.
  • Skilled in large-scale model training and deployment.
  • Strong command of Python and ML libraries, such as scikit-learn, pandas, NumPy and SciPy.
  • Experience utilizing distributed data/computing tools, including Map/Reduce, Hadoop, Hive, Spark and MySQL.
  • Familiarity with cloud platforms (GCP, Azure) for ML model training and deployment.
  • Proficient in MLOps tools and practices, including automated ML model testing and Continuous Integration/Continuous Deployment (CI/CD).

Benefits:

  • Competitive salary and equity
  • Comprehensive benefits package.
  • Remote working (US Only)

If this sounds like the role for you, apply now in the link below or email your resume to angelo@alldus.com for consideration.

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