Staff Machine Learning Engineer

Company: Nutanix
Location: Santa Clara
Posted on: April 20, 2024

Job Description:

About the TeamThe AI / Machine Learning team is building the industry's leading Machine Learning models for use cases at scale. This team is also responsible for pushing the boundaries of applied Machine Learning and state-of-the-art Generative AI techniques on a challenging and diverse dataset. The team is at the forefront of building frameworks for Responsible AI development.Primary Responsibilities:

• In this senior-level role, you will own, train, build and deploy cutting edge deep learning models across all Eightfold products, end to end.
• Build on top of Open Source LLM (Large Language Models) to leverage a diverse dataset. -
• Apply innovative solutions from Generative AI
• Create industry best practices for Machine Learning for Recruiting and HR industry around the globe
• Do it responsibly to provide equal opportunity for everyone by extending our internal model fairness platform
• Create innovative algorithms for Machine Learning & AI
• Implement best practices for building AI-enabled products
• Develop AI-based systems for Natural Language Processing (NLP)
• Optimize Machine Learning models for time efficiency, performance, cost, scalability, and accuracy
• Develop tools and processes for automatically train, updating and evaluate LLM (Large Language Models)Qualifications:
  • Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP
  • Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
  • Ability to work cross-functionally & interface with data science experts across all Eightfol's customer base
  • Familiar with LLM (Large Language Models), transformers like BERT, GPTs, T-5, HuggingFace etc.
  • Exceptionally strong knowledge of CS fundamental concepts and ML languages ( like Python, C, C++, Java, JavaScript, R, and Scala, etc. )
  • Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning.
  • Prior experience building and deploying machine learning models in production at scale
  • Understanding of data and ML systems with the ability to think across stack layers - REST APIs, microservices, data ingestion and processing systems, and distributed systems.
  • Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.).
  • Experience implementing production machine learning systems, working with large-scale datasets, and a solid understanding of machine learning theory.
  • Familiar with a cloud-based environment such as AWS, Azure or GCPPreferred Qualifications:
    • Metrics-focused and passionate about delivering high-quality models.
    • Experience with analyzing large data sets, using Hadoop, Spark -
    • Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies.
    • Familiarity with MLOps tools and pipelines (MLflow, Metaflow).
    • PhD or Masters in Computer Science or Data Science is preferredAt Eightfold, We are a team of self-starters who excel in their fields. We believe in giving you responsibility, not a task. We want you to have ownership and pride in your work and see your work's positive impact on your colleagues, our customers, and the world. We believe in providing transparency and support so you can do the best work of your career.Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice a week.Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. -Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.Pay TransparencyPlease note this role is categorized as hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for [bonuses or commissions], and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, zone and experience. Zones are determined by location. -Zone A: $220,000 to $259,000 base annual salary + annual bonus + equityOur customer stories- Press-
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Keywords: Nutanix, Milpitas , Staff Machine Learning Engineer, Engineering , Santa Clara, California