MLOps Engineer

Remote in the USA

Comet

Comet provides an end-to-end model evaluation platform for AI developers, with best-in-class LLM evaluations, experiment tracking, and production monitoring.

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About Comet

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. 

Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you.

Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel).

About the Position:

As a MLOps Engineer working fully remotly in the USA, you will be the primary technical liaison to our prospective clients during sales as well as key customer accounts. You will be responsible for delivering the technical win and product fit during evaluation and onboarding of the Comet platform. It is critical for this role to build customer trust in our platform which will aid the sales and customer success organizations. You will lead the technical pre-sales relationship, demonstrate the product, anticipate concerns, and offer creative solutions to customer problems. You will also be responsible for providing feedback to product and engineering on key customer pain points and requirements that would inform the future roadmap.

The role requires someone who is both highly technical and a skilled relationship builder. You should be equally comfortable painting a vision of the technical possibilities of the platform with a C-level exec and white boarding workflows with customer’s data science and DevOps teams.

You will be working with a global team (presences in the US, Israel, and EU) – so some flexibility with work hours is required.

 Who you are? 

  • Sales/Solutions Engineer at a MLOps platform tool company
  • Customer Success Engineer at an MLOps platform tool company
  • Data Science consultant for a top consulting firm
  • Data Scientist with strong communication skills, who has a desire to move into sales positions
  • Sales Engineer at a technical SaaS company (not necessarily ML) 

Responsibilities:

  • Partner with Sales during the sales cycle and enable prospects to understand the benefits of leveraging the platform
  • Lead technical demonstrations of the Comet platform for an array of use cases from training time series forecasting or computer vision models, to LLM fine tuning and evaluation
  • Support technical sales evaluations of the Comet platform, helping with Python SDK integration, solutioning custom visualizations and integrations, and leading technical working sessions 
  • Leverage knowledge of ML/LLM frameworks and MLOps tooling to create relevant code and integration examples for prospects
  • Work to qualify business opportunities and identify key customer technical objections. Develop the strategy to resolve technical impediments during the sales cycle.
  • Gather technical requirements from prospective clients and map the platform to the prospective clients’ unique requirements
  • Partner with Marketing to deliver tutorials, blog posts, sample code, and presentations adapted for technical, business, and executive partners
  • Partner with Product and Engineering to provide customer and market feedback to help define product roadmap

Requirements:

  • Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.
  • 3+ years of experience with applied machine learning and software engineering
  • Quick learner, self-starter, and comfortable working with ambiguity
  • Deep and demonstrable knowledge of Python and ML frameworks such as Keras, PyTorch, Tensorflow
  • Understanding of LLM development process and comfort with common LLM models and frameworks
  • Ability to understand the workflow and tools used by data scientists
  • Excellent communicator and presenter; able to win the confidence of a technical audience and simplify messaging
  • Experience building production-grade ML systems and taking ML models to production is a plus

What We Offer:

  • Competitive base salary $100-150K + Commission- based on proven experience, skills and location
  • Competitive benefits package
  • Flexible working hours and remote work options
  • Opportunities for professional growth and development
  • A collaborative and innovative work environment
  • The chance to work with cutting-edge technologies and projects
  • This role will be fully remote in the USA (preferably West Coast) working with a global team (large presence in the US, Tel Aviv and Europe)

 

Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Computer Vision Consulting Consulting firm DevOps Diffusion models Drug discovery Engineering Keras LLMs Machine Learning ML models MLOps Open Source Python PyTorch Research Responsible AI TensorFlow

Perks/benefits: Career development Competitive pay Flex hours

Regions: Remote/Anywhere North America
Country: United States

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