Senior Machine Learning Engineer, Automation Anywhere

$168-205k

Salary dependent on location; plus discretionary bonus and equity

SQL

AWS

Docker

Kubernetes

Python

Java

Airflow

Excel

Tensorflow

Azure

Redshift

Luigi

PyTorch

BigQuery

Senior and Expert level

Remote from US

More information about location

Enterprise AI agents for business processes

Job no longer available

Enterprise AI agents for business processes

1001+ employees

B2BArtificial IntelligenceInternal toolsSaaSAutomation

Job no longer available

$168-205k

Salary dependent on location; plus discretionary bonus and equity

SQL

AWS

Docker

Kubernetes

Python

Java

Airflow

Excel

Tensorflow

Azure

Redshift

Luigi

PyTorch

BigQuery

Senior and Expert level

Remote from US

More information about location

1001+ employees

B2BArtificial IntelligenceInternal toolsSaaSAutomation

Company mission

To democratise automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity.

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Master’s or PhD in Computer Science, AI, or a related field a plus
7+ years in Engineering, focusing on data used for Machine Learning. Experience in ML frameworks: TensorFlow, PyTorch a plus
Strong programming skills in Python, Java, SQL
Expertise in data warehousing solutions such as BigQuery, Redshift, etc
Familiarity with data orchestration tools such as Apache Airflow or Luigi
Practical experience with container technologies like Docker and Kubernetes
Knowledgeable in MLOps and CI/CD pipelines
Familiarity with cloud services like AWS, Google Cloud Platform, and Microsoft Azure preferred
Machine Learning model deployment at scale a plus
Feature stores for Machine Learning experience a plus
You excel in these key competencies:
Effective communication of complex technical concepts to non-technical stakeholders
Proactive attitude towards staying updated with the latest advancements in machine learning
Ability to adapt to evolving project requirements and dynamic technology landscapes
Willingness to share knowledge and contribute to a positive team culture
Strong organizational skills to manage multiple tasks and deadlines effectively
Prioritizing tasks based on project goals and timelines

What the job involves

As a Senior Machine Learning Engineer, you will play a pivotal role in revolutionizing the way we harness the power of machine learning
You will be responsible for researching, creating and maintaining optimal data pipelines and architectures for machine learning applications
He role involves developing, constructing, testing, and maintaining pipelines and architectures such as databases and large-scale processing systems to be leveraged in ML applications
This role reports to the Director, Data Science
Building ML- focused pipelines ensuring scalability and data integrity
Assembling large, complex data sets that meet business requirements
Collaborating with Data Scientists for feature engineering and data prep for ML
Optimizing ML models for production; streamline MLOps
Developing ETL processes for large, complex data sets
Identifying, designing, and implementing improvements to current architecture for optimization
Collaborating with stakeholders including the Executive, Product, and Data Science teams to assist with data-related technical issues

Our take

Although technology is supposed to save labor, often it doesn't feel like it, with the average desk worker stuck carrying out an increasing number of repetitive manual tasks just to make their growing software stack function. Enter Automation Anywhere, a provider of robotic process automation (RPA) software designed to handle tedious repetitive functions, freeing teams for more productive work.

RPA is a highly competitive field, with firms like Celonis attracting vast amounts of funding and Microsoft beginning to bundle RPA functionality with its business packages. What helps Automation Anywhere stand out is its use of AI to discover the processes that can be automated within a company, a task that is usually carried out by expensive consultancy firms. This has allowed Automation Anywhere to grow a huge client base, including the likes of the NHS, Dell and Staley Black & Decker.

Fueled by partnerships with Microsoft, AWS, and PwC India, Automation Anywhere is accelerating its leadership in AI-powered automation. These collaborations allow the company to deliver cutting-edge solutions and aid in its continued growth.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

13% employee growth in 12 months

Glassdoor (3.8)

Company

Company HQ

North San Jose, San Jose, CA

Leadership

Mihir Shukla

(Co-Founder & CEO)

Previously the Director of Engineering at E2Open and Infoseek, and a Consultant at Netscape.

Neeti Mehta Shukla

(Co-Founder & Chief Impact Officer)

Previously a Marketing Research Consultant for Intuit. They are also a Limited Partner at Kalaari Capital and CXXO Champion for CXXO.

Rushabh Parmani

(Co-Founder & Chief Customer Officer)

Before co-founding Automation Anywhere they were a Software Engineer at Siebel Systems.

Ankur Kothari

(Co-Founder & COO)

Previously a member of the Core Group in Siebel Systems. Since co-founding Automation Anywhere, they have been a CRO, COO, CSO and Chief Customer & Strategy Officer before becoming COO in 2023.

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