Full-Time Machine Learning Solutions Engineer

Snorkel AI is hiring a remote Full-Time Machine Learning Solutions Engineer. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.

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Snorkel AI

Job Title

Machine Learning Solutions Engineer

Posted

Career Level

Full-Time

Career Level

Experienced

Locations Accepted

USA

Salary

YEAR $100000 - $150000

Job Details

We’re on a mission to democratize AI by building the definitive AI data development platform.

Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

Snorkel AI is enabling a paradigm shift in ML development by helping organizations take a programmatic approach to machine learning application development.

In this role, you will act as a trusted advisor to prospective and existing customers. You will also work directly with our co-founding team, sales team, product team and ML Engineering team to provide value-based evaluation scenarios including demonstrations, labs, and POVs, to aid in closing business.

Main Responsibilities

  • Machine Learning Solution Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process.
  • Serve as our first line expert educators on the Snorkel Flow Platform, building demos and presentations for customers and field experts.
  • Act as the primary customer-facing technical resource during customer / partner meetings and technology evaluations, working at all levels in the organization with Data Scientists, AI/ML practitioners, Architects, Technologists, Product owners, Transformation leaders, LOB & C-level executives.
  • Serve as a trusted advisor on AI to help customers with their end-to-end vision; AI strategy, operating model & architectural best practices, problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.
  • Partner with sales leadership to achieve quota targets while also ensuring our customers are well positioned for a successful hand-off to our post-sales and customer success teams.
  • Provide guidance to revenue leaders on sales strategy, product obstacles/gaps and represent the team's needs to executive staff.
  • Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions that help customers to accelerate critical business outcomes with AI.
  • Collaborate and maintain a close working relationship with our co-founders, product, engineering, sales, and marketing.
  • Systematize and playbook pre-sales activities, such as demo and POC assets.

Preferred Qualifications

  • 2+ years of experience in customer facing technical roles (can include sales at a B2B software company or DS/ML consulting)
  • Experience executing a value centric sales motion using MEDDPIC, Command of the Message or other value centric sales methodologies and qualification frameworks
  • Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers)
  • Knowledge of industry standard technologies in the Data Science and Machine Learning space
  • Fluency with scripting in Python
  • Hands-on experience building and implementing machine learning or AI models
  • Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Ability to connect a customer's specific business problems to Snorkel’s differentiated platform and unique approach to ML development

FAQs

What is the last date for applying to the job?

The deadline to apply for Full-Time Machine Learning Solutions Engineer at Snorkel AI is 18th of February 2025 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ USA ] applicants. .

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