Elastic, the Search AI Company, enables everyone to find the answers they need
in real time, using all their data, at scale — unleashing the potential of
businesses and people. The Elastic Search AI Platform, used by more than 50% of
the Fortune 500, brings together the precision of search and the intelligence of
AI to enable everyone to accelerate the results that matter. By taking advantage
of all structured and unstructured data — securing and protecting private
information more effectively — Elastic’s complete, cloud-based solutions for
search, security, and observability help organizations deliver on the promise of
AI.
WHAT IS THE ROLE:
Elastic Security focuses on AI driven Security solutions across our SIEM and
Endpoint products. The Security ML team researches, designs, and builds AI and
ML solutions and drives innovation in this domain. We are looking for a Senior
MLOps Engineer to join our ML team and continue to innovate, build and ship new
models that will help secure our users against the latest emerging threats. You
will collaborate with the broader Elastic Security team, which consists of a
diverse group of skilled researchers, ML engineers, data scientists, and
developers who possess extensive domain expertise in their respective areas. Our
geographically dispersed team values positivity and inclusion in the workplace,
collaborative learning, and candid communication.
If you are passionate about ML and Data Science and would like to apply your
expertise to secure world's data from attacks, we would love to have you join
our growing team!
WHAT YOU WILL BE DOING:
- Support ongoing efforts to improve data quality and ML model training
automation, as well as observability and reproducibility of ML models
- Collaborate within the Data Science team, and with members of other teams,
especially Data Engineering
- Promote long-term vision for monitoring performance of deployed models to
identify concept drift and determine retraining cadence
- Determine how to improve models over time by leveraging implicit and explicit
feedback
WHAT YOU BRING:
- Be comfortable working in a fully-remote environment
- Be able to communicate clearly to diverse groups of stakeholders coming from
different disciplines, timezones, and programming language preferences
- Proficient Python programming skills
- Experience with writing and running tests (unit tests, integration tests,
regression tests)
- Experience with AWS or GCP
- Experience with Airflow, Buildkite or other CICD tooling
- Experience with performing data analysis as required to support data quality
decisions
- Ability to both give and receive helpful code reviews
BONUS POINTS:
- Experience in Security
- Experience with Kubernetes
- Working knowledge of deep learning, clustering, and/or graph algorithms
- Experience designing, training, and evaluating models using popular ML
frameworks
Compensation for this role is in the form of base salary. This role does not
have a variable compensation component. The typical starting salary range for
new hires in this role is listed below.
These ranges represent the lowest to highest salary we reasonably and in good
faith believe we would pay for this role at the time of this posting. We may
ultimately pay more or less than the posted range, and the ranges may be
modified in the future.
An employee's position within the salary range will be based on several factors
including, but not limited to, relevant education, qualifications,
certifications, experience, skills, geographic location, performance, and
business or organizational needs.
Elastic believes that employees should have the opportunity to share in the
value that we create together for our shareholders. Therefore, in addition to
cash compensation, this role is currently eligible to participate in Elastic's
stock program. Our total rewards package also includes a company-matched
Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to
6% of eligible earnings, along with a range of other benefits offered with a
holistic emphasis on employee well-being.
The typical starting salary range for this role is:
$128,300—$203,000 CAD
ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE
As a distributed company, diversity drives our identity. Whether you’re looking
to launch a new career or grow an existing one, Elastic is the type of company
where you can balance great work with great life. Your age is only a number. It
doesn’t matter if you’re just out of college or your children are; we need you
for what you can do.
We strive to have parity of benefits across regions and while regulations differ
from place to place, we believe taking care of our people is the right thing to
do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many
roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent)
for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an
equal opportunity employer and is committed to creating an inclusive culture
that celebrates different perspectives, experiences, and backgrounds. Qualified
applicants will receive consideration for employment without regard to race,
ethnicity, color, religion, sex, pregnancy, sexual orientation, gender
perception or identity, national origin, age, marital status, protected veteran
status, disability status, or any other basis protected by federal, state or
local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and
inclusive experience for all individuals. To request an accommodation during the
application or the recruiting process, please email
candidate_accessibility@elastic.co [candidate_accessibility@elastic.co]. We will
reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below:
Family and Medical Leave Act (FMLA)
[https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf] Poster; Pay
Transparency Nondiscrimination Provision
[https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf]
Poster; Employee Polygraph Protection Act (EPPA)
[https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppabw.pdf] Poster and
Know Your Rights
[https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf]
(Poster)
Elasticsearch develops and distributes encryption software and technology that
is subject to U.S. export controls and licensing requirements for individuals
who are located in or are nationals of the following sanctioned countries and
regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of
Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s
Republic (“LNR”). If you are located in or are a national of one of the listed
countries or regions, an export license may be required as a condition of your
employment in this role. Please note that national origin and/or nationality do
not affect eligibility for employment with Elastic.
Please see here [https://www.elastic.co/legal/applicant-privacy-statement] for
our Privacy Statement.
