Are you a tech-savvy wizard who thrives on making machine learning models perform their absolute best? Do you dream in code and algorithms? Do data drift metrics keep you up at night?
Your experience operationalizing machine learning models over the years has taught you a few valuable lessons. You've learned that the real magic happens by ensuring that machine learning models thrive in real-world environments. From orchestrating seamless deployments to crafting bulletproof monitoring systems, you've become the architect of reliability. Your experience has shown you the critical importance of setting clear SLOs, understanding that these guide your efforts towards maintaining peak performance.
Expel is looking for someone with a passion for quality and a vision for model operations. You’ll have autonomy to help shape the future of ML Ops at Expel by bringing your ideas to improve what we do and how we do it. You’ll work across the company to understand the needs of your collaborators and help deliver solutions. You’ll work closely with data scientists and engineers to enable research, and support implementation of machine learning models.
Our team values collaboration and a “how can I help?” attitude. So, if you're someone who has a passion for ML Ops, and finds mentorship exciting, we should talk!
What Expel can do for you
- Provide opportunities where the decisions you make have a direct impact on our company and our customers
- Empower you to scale yourself by guiding others on what responsible ML Ops is and how it can make an impact
- Challenge you to push the boundaries of our ML Ops and AI vision
- Provide an entertaining, small and highly transparent startup environment
What you can do for Expel
- Work across our Data Science and Engineering teams, ensuring Expel can easily deploy, monitor, and manage all of our machine learning capabilities
- Champion an atmosphere of experimentation, continuous learning, and improvement, while also driving a culture of quality
- Stay aware of emerging techniques and papers that might benefit Expel
- Contribute to an environment of mentorship and coaching of ML Ops processes and tools
- Contribute to Expel’s external voice through blog posts and conference speaking
What you should bring with you
- A passion for teaching and mentoring others about ML Ops techniques and industry standards
- Ability and desire to collaborate and work with teams throughout the organization
- Ability and desire to communicate technical concepts to audiences of various technical expertise
- A passion for improving and building our ML Ops processes
- Extensive experience with Python
- Experience with CI/CD pipelines, infrastructure-as-code tools, and deploying containerized application code (we use Docker and Kubernetes)
- Experience with concepts like continuous re-training, and monitoring concept and data drift in production
- Experience with cloud based machine learning tools/platforms (VertexAI or Sagemaker are a plus)
- Experience enabling the development of machine learning models by helping to enable new research datasets, building training pipelines, and facilitating model inference at scale
- 5+ years of ML Ops experience with a deep understanding of engineering and quality standards
Additional information
The base salary range for this role is between $138,800 USD and $201,300 USD + bonus eligibility and equity.
We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You’ll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.
We’re only hiring those authorized to work in the United States.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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