Staff Machine Learning Platform Engineer

| Remote
Employer Provided Salary: 201,000-281,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Ontra is a remote-first company, with access to coworking spaces and offices in a few key cities for employees who may prefer in-person working options. We value connection, investing in opportunities for in-person and virtual gatherings with your Ontra colleagues.
We currently are able to hire exclusively in the locations listed below. Select jobs may have more specific location requirements due to business needs.
United States
Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Massachusetts, Maryland, Minnesota, North Carolina, New Jersey, Nevada, New York, Oregon, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington
APAC
Hong Kong, Singapore
EMEA
United Kingdom
For this job we are currently only hiring candidates based in the United States.
About the team & opportunity
Ontra is seeking a Staff Machine Learning Platform Engineer reporting to our Manager, Machine Learning Platform.
The role is a great opportunity for someone who wants to build, design and implement cutting-edge machine learning infrastructure as well as contribute to the innovation of our AI solutions while working with a dynamic and collaborative team.
If you are excited about driving impactful projects where your contributions will have a direct impact on how customers use our products, we'd love to get to know you!
What you'll do

  • Collaborate: Work across teams such as Infrastructure Engineering, Application Development, and Machine learning to develop and deploy LLM applications
  • Build: Build ML infrastructure to develop, fine-tune, and serve GenAI & LLM applications
  • Model serving: Utilize Kubernetes and AWS services to containerize and serve our applications effectively
  • Improve process: Integrate tools and practices to standardize workflows and improve LLM prompt engineering, model evaluation, performance monitoring, and reproducibility.


What you'll bring

  • Machine Learning Experience: 7+ years of experience as an ML Platform/ML Ops Engineer, preferably in a high-growth, scaling environment
  • ML Toolset: Proficiency using Python to write and optimize code to support ML models as well as tools such as Kubeflow, LangChain and LlamaIndex
  • LLM knowledge: Hands-on experience in productionization of OpenAI, LLaMA or other LLM based applications using techniques such as Prompt Engineering, RAG, or Fine Tuning
  • Infrastructure building: Experience designing, building, and scaling ML infrastructure using Kubernetes, Terraform, and AWS
  • Team Player Mentality: A background in working across multiple functions to achieve team-wide and company-wide goals, fostering a culture of innovation


Pay transparency
Ontra considers candidate location and experience when evaluating compensation levels. Some positions may be eligible for additional compensation, such as variable compensation, which is not included in the base pay range below. If you have been selected to participate in our interview process, we encourage you to speak with your Talent Acquisition Partner about compensation for this role.
Base pay range
$201,000 - $281,000 USD
Our benefits

  • Opportunity to participate in Ontra's unit-based compensation program
  • Medical, dental, and vision insurance base plans at no additional cost
  • Employer-sponsored retirement plans
  • Monthly phone and internet reimbursement (equivalent of $100 USD)
  • 4 months (16 weeks) of parental leave
  • Unlimited paid time off


About Ontra
Ontra is the global leader in Contract Automation and Intelligence for private asset management firms. The Ontra platform combines AI-enabled software with a worldwide network of highly trained lawyers to modernize recurring legal workflows. Ontra's solutions improve all aspects of the contract lifecycle - from negotiating and processing routine contracts to tracking obligations in complex agreements. Ultimately, Ontra reduces the time, expense, and risk associated with contract management, freeing its customers to focus on other strategic priorities.
Inclusivity
Ontra is committed to the full inclusion of all qualified individuals. As part of this commitment, Ontra will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [email protected].
Personnel Privacy Notice: https://bit.ly/46lVT74
Note on Employment Verification: All employees hired will be required to verify identity and eligibility to work in their particular location.
Note to External Agencies: We are not accepting any blind submissions or resumes/CVs from recruitment agencies. Any candidates sent to Ontra will NOT be accepted or considered as a submission without a signed agreement in place.
#BI-Remote
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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavascriptLanguages
    • PythonLanguages
    • RubyLanguages
    • SqlLanguages
    • PandasLibraries
    • SpacyLibraries
    • Scikit-learnLibraries
    • NumpyLibraries
    • PandocLibraries
    • TesseractLibraries
    • Ember.jsFrameworks
    • Ruby on RailsFrameworks
    • TensorFlowFrameworks
    • PytorchFrameworks
    • KerasFrameworks
    • DaskFrameworks
    • TornadoFrameworks
    • JupyterFrameworks
    • PostgreSQLDatabases
    • RedisDatabases
    • SnowflakeDatabases
    • SegmentAnalytics
    • FigmaDesign
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Location

77 Geary Street, Suite 500, San Francisco, CA 94108

An Insider's view of Ontra

How would you describe the company’s work-life balance?

Everyone is trusted to take time off throughout the year when they want to, and they actually do take time off. I also have my Slack notifications turned off every night, on weekends, and on PTO. We’re all about finding ways to achieve ambitious goals with sustainable and healthy day-to-day processes.

Robyn

User Experience Designer

What does your typical day look like?

I spend most of my time with our customers to understand the tech-enabled legal processes currently in place and offer recommendations on products and services that will support their continued success. I work across the organization from partnering with our attorney partners- to collaborating with the Product team to improve and scale our process.

Josh

Managing Director, Account Management

What are Ontra Perks + Benefits

Culture
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Mandated unconscious bias training
Diversity manifesto
Diversity employee resource groups
Health Insurance + Wellness
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Team workouts
Mental health benefits
Financial & Retirement
401(K)
Company equity
Child Care & Parental Leave
Generous parental leave
Family medical leave
Return-to-work program post parental leave
Vacation + Time Off
Unlimited vacation policy
Paid holidays
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Pet friendly
Home-office stipend for remote employees
Professional Development
Job training & conferences
Lunch and learns
Promote from within
Continuing education stipend
Continuing education available during work hours
Online course subscriptions available
Customized development tracks
Paid industry certifications

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