Senior NLP Innovation Expert

3 weeks ago

San Francisco, California, United States ZipRecruiter Full time

Job Summary:

We are seeking a highly skilled Senior Natural Language Processing (NLP) Engineer to join our team at ZipRecruiter. As a key member of our innovation team, you will play a crucial role in developing and deploying cutting-edge NLP models and algorithms that drive meaningful change and improve user experiences.

Company Overview:

At ZipRecruiter, we are committed to harnessing the power of NLP to transform industries and revolutionize how people interact with technology. Our dynamic team is dedicated to delivering innovative solutions that drive business results and enhance customer experiences.

Key Responsibilities:

  1. NLP Model Development: Design, develop, and implement advanced NLP models and algorithms to solve complex understanding and tasks.
  2. Data Preparation: Collect, preprocess, and annotate textual data for training NLP models, ensuring data quality and relevance.
  3. Model Training and Evaluation: Train and evaluate NLP models using appropriate techniques and metrics, optimizing for performance, accuracy, and scalability.
  4. Model Deployment: Deploy NLP models into production environments, ensuring seamless integration with existing systems and platforms.
  5. Performance Optimization: Optimize the performance of NLP models and systems, leveraging techniques such as distributed computing and GPU acceleration.
  6. Domain Adaptation: Adapt pre-trained models to specific domains or use cases, fine-tuning model parameters and architectures as needed.
  7. Feature Engineering: Identify and engineer relevant features from raw textual data to improve model performance and predictive accuracy.
  8. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end NLP solutions that meet customer requirements.
  9. Research and Innovation: Stay informed about the latest advancements in NLP research and technology, exploring innovative approaches and techniques to enhance NLP solutions.

Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in NLP engineering, with a focus on developing and deploying NLP models and algorithms.
  • Proficiency in programming such as Python, and expertise in NLP libraries and frameworks such as NLTK, spaCy, Transformers, or AllenNLP.
  • Strong understanding of NLP techniques and algorithms, including word embeddings, sequence labeling, and text classification.
  • Experience with deep learning architectures for NLP tasks, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience with containerization and orchestration technologies.
  • Excellent problem-solving skills and analytical thinking, with a passion for tackling complex NLP challenges.
  • Exceptional communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and communicate technical concepts to non-technical stakeholders.

Compensation and Benefits:

  • Competitive salary: $195,000 per year, based on industry standards and market conditions.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact at the forefront of NLP innovation.

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