Software Engineer- MLOps and Benchmarking
To see similar active jobs please follow this link: Remote Development jobs
What we’re looking for…
ScienceLogic is seeking an MLOps Engineer who will play a critical role in operationalizing GenAI offerings. Ideal candidates will be passionate and have had proven expertise in designing and engineering MLOps pipelines or CI/CD implementations as well as curating data for machine learning and/or Large Language Models for benchmarking. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.
What you’ll be doing…
Deploying, monitoring, and optimizing machine learning models and overall, AI infrastructure – At scale designing and managing of model lifecycle deploying.
Creation/curation of datasets – Building a robust repository of datasets that exercise myriads of test cases.
Automation of regression testing – Ensuring that the AIML systems built are scalable and sustainable across our established and growing customer base.
Establishing and monitoring benchmarks – Researching industry best practices and translating them to what ScienceLogic can maintain and evolve to give extremely superior quality of trustworthy machine learning solutions.
You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.
Qualities you possess…
BS/MS/PhD in Computer Science, similar technical field of study, or equivalent practical experience.
5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
Experience with following tech stack: - Frontend: React UI, Swagger APIs. - Backend: Python, ClickHouse, OpenTelemetry. - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app. - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.
As the MLOPs engineer, you'll resonate with and embody our core values –
Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.
Benefits & Perks
A remote-first culture - work from home or come into the office, it's totally up to you.
Comprehensive medical, dental and vision plans.
401(k) plan with employer match.
Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
5-year Service Milestone Sabbatical.
Paid parental leave.
Generous employee referral bonus program.
Pet insurance.
HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
The opportunity to learn and develop from some of the best and brightest minds in the industry!
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.
The typical base pay range for this role across the U.S. is USD $170,000 - $190,000 per year.
About ScienceLogic
We empower intelligent and automated IT operations.
The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds
All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.
#LI-Remote
About the job
Software Engineer- MLOps and Benchmarking
To see similar active jobs please follow this link: Remote Development jobs
What we’re looking for…
ScienceLogic is seeking an MLOps Engineer who will play a critical role in operationalizing GenAI offerings. Ideal candidates will be passionate and have had proven expertise in designing and engineering MLOps pipelines or CI/CD implementations as well as curating data for machine learning and/or Large Language Models for benchmarking. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.
What you’ll be doing…
Deploying, monitoring, and optimizing machine learning models and overall, AI infrastructure – At scale designing and managing of model lifecycle deploying.
Creation/curation of datasets – Building a robust repository of datasets that exercise myriads of test cases.
Automation of regression testing – Ensuring that the AIML systems built are scalable and sustainable across our established and growing customer base.
Establishing and monitoring benchmarks – Researching industry best practices and translating them to what ScienceLogic can maintain and evolve to give extremely superior quality of trustworthy machine learning solutions.
You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.
Qualities you possess…
BS/MS/PhD in Computer Science, similar technical field of study, or equivalent practical experience.
5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
Experience with following tech stack: - Frontend: React UI, Swagger APIs. - Backend: Python, ClickHouse, OpenTelemetry. - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app. - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.
As the MLOPs engineer, you'll resonate with and embody our core values –
Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.
Benefits & Perks
A remote-first culture - work from home or come into the office, it's totally up to you.
Comprehensive medical, dental and vision plans.
401(k) plan with employer match.
Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
5-year Service Milestone Sabbatical.
Paid parental leave.
Generous employee referral bonus program.
Pet insurance.
HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
The opportunity to learn and develop from some of the best and brightest minds in the industry!
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.
The typical base pay range for this role across the U.S. is USD $170,000 - $190,000 per year.
About ScienceLogic
We empower intelligent and automated IT operations.
The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds
All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.
#LI-Remote