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Machine Learning Engineer (Job ID: 2271)

ConverseNow

ConverseNow

Software Engineering
Buenos Aires, Argentina
Posted on Thursday, April 6, 2023
Who We Are
ConverseNow is the leading voice AI platform for restaurants. Our virtual ordering assistants automate drive-thru and phone orders for a growing list of the world’s leading restaurant brands. With cutting-edge technology and a passion for service, we sit at the intersection of tech, B2B SaaS and hospitality. Named to the Forbes AI 50 List, Built In’s Startups to Watch List and recognized by TechCrunch, VentureBeat, Business Insider and Nation’s Restaurant News among others, we’re proud to have created a truly best-in-class technology that’s leading the AI and restaurant worlds forward.
Backed by blue chip investors such as CRAFT Ventures (Tesla, Uber, Airbnb, Postmates, Slack) and Enlightened Hospitality Investments (led by Shake Shack Founder Danny Meyer), we’ve raised ~$35M in funding with our sights set on continued exponential growth.
We owe our growth to the remarkable culture we’ve built at ConverseNow. Driven by team-selected core values of Ambition, Passion, Inclusiveness, Guest-Centricity and Low-Ego (our personal favorite), we boast a fun, collaborative work environment where team members are constantly learning from and supporting one another, voices are heard, and everyone has a seat at the table. We’re based in Austin, TX, with a remote team distributed across the globe.
We are looking for a talented and ambitious engineer who wants to be part of a fast-moving and entrepreneurial team working on leading edge natural language understanding software systems.
This role is a full stack machine learning engineer in the modern sense of the term. You will be required to spend time in all aspects of analysis, data, operations, and development to bring systems to production. The role requires a multiplicity of skills including software development skill (python and some golang) for integration, driving and reviewing data and training - including making and reviewing annotations, driving operations of such annotation, conduct model training, analyze model metrics and measurements, bringing models to production, analyzing, maintaining such models.

Responsibilities

  • Driving Annotation - design, maintaining annotation guidelines, annotating and reviewing annotations, driving annotators, operating the “annotation loop".
  • Developing and Training ML Models - primarily prompt based and fine-tuned models. Training models and measuring performance.
  • Software Development - design, development, integration, delivery of high quality software Support live systems with maintenance, triage, and support as necessary.

Experience You’ll Need

  • 5+ years of experience in a product company working on ML systems.
  • High proficiency in Python. Golang or similar compiled language software is a plus.
  • Good design and problem-solving skills.
  • Experience in NLP and experience using OpenAI is a plus
  • Experience working with docker
  • Strong architecture, development experience (hands-on) - APIs
  • Experience with high-performance, low-latency, high availability production systems
  • Experience working with websocket servers is a plus.
  • Experience working on cloud environments (especially GCP) is also desirable.
  • Experience managing data and data pipelines is a plus.
  • Excellent analysis capabilities to take ambiguous problems from concept to completion

The Type of Team Player We Need

  • Loves Technology - a true Geek at Heart - that enjoys the latest and greatest tech
  • Stays current with new technology and trends
  • Driven, ambitious and hard-working (this is not a 9-5 role)
  • Has a high-bar of excellence
  • Exceptionally reliable and predictable
  • Organized and takes ownership of project deliveries
  • Flexibility to work in a fast moving and ever changing environment
  • Clear verbal & written communication skills; proactive communicator

What We Provide

  • Flexible PTO
  • Remote work supplement including laptop
  • An incredible team with tremendous passion for the company’s mission, sharing a “Let’s do this” attitude while maintaining a strong work/life balance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.