Staff Machine Learning Engineer
Company: Nutanix
Location: Santa Clara
Posted on: May 6, 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
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Keywords: Nutanix, Turlock , Staff Machine Learning Engineer, Engineering , Santa Clara, California
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