Senior Machine Learning Quality Engineer, ServiceNow
$137-233k
+ ESPP + Equity (when applicable) + Variable/Incentive Compensation
Office located in Santa Clara, CA
Cloud-based digital workflows for enterprises
Job no longer available
Cloud-based digital workflows for enterprises
1001+ employees
Job no longer available
$137-233k
+ ESPP + Equity (when applicable) + Variable/Incentive Compensation
Office located in Santa Clara, CA
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- Bachelors or Masters in Computer Science or related subjects with 5 to 8 years of work experience
- Strong test automation skills in Java / Python
- Hands-on experience testing large-scale, production systems in Python or Java
- Excellent communication, collaboration, reporting, analytical and problem-solving skills
- Ability to take a project from scoping the requirements and building the test cases
- Familiarity with AI/ML modeling approaches such as supervised and unsupervised techniques
- Familiarity with testing AI/ML models and evaluation of the model quality
- Ability to analyze results from the test set and create defects based on result patterns
- 5 to 8 years Experience in quality assurance and/or application development
- Knowledge of machine learning techniques, data structures, algorithms, statistics
- Expertise in developing automation pipelines & frameworks for verification of machine learning models
- Experience in collecting and maintaining data according to test plans / cases
- Experience setting up automated test systems using continuous build environments (e.g. Jenkins) and ML
- Content management systems to build full stack testing workflows
- Experience in designing scalable and maintainable automated testing solutions for large-scale ML systems
- Experience in an agile environment and in standard software testing methodology, e.g. integration testing, code reviews, design documentation
What the job involves
- You will be working with the Applied AI Science & Quality Assurance engineering team
- We help build out our Machine learning models and AI functions
- Design and review test automation frameworks for machine learning models
- Work with ML engineers to make sure that functional & non-functional requirements are addressed
- Establish and improve metrics collection and reporting
- Establish test effectiveness and efficiencies throughout the team
- Incorporate research of industry trends and apply best practices in quality engineering practices used in
- Evolving machine learning techniques
- Work in a team oriented environment and work with technical and non-technical team members equally
- Well
- Create test plans, test cases and other testing artifacts
- Maintain existing automation test frameworks
- Collect and report quality metrics from test execution
- Work with developers to design specific testing strategies for features being developed and automate them
- Create comprehensive test plans; execute and automate them
- Enable engineering organizations in troubleshooting or addressing issues with applications and dev/test environments
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Founder & Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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