Machine Learning Engineer (LatAm)

Reposted 17 Days Ago
Be an Early Applicant
Kountríon
In-Office
65K-95K Annually
Mid level
Edtech • Machine Learning • Natural Language Processing • Software
ReflexAI builds hyperrealistic training roleplays and quality assurance for high impact conversations
The Role
The role involves designing and improving the ML platform, collaborating with teams, and implementing CI/CD for ML models and data pipelines.
Summary Generated by Built In

About ReflexAI

ReflexAI brings the best in machine learning and natural language processing to mission-driven, people-centric organizations via innovative tools that transform how they train, develop, and empower their frontline teams. The AI / ML team at ReflexAI is involved in multiple large-scale projects, including ReflexAI’s highly visible development of a tool that trains veterans to support each other through mental health challenges.

 

About this role

As a Senior Machine Learning Engineer at ReflexAI, you will be involved in multiple large-scale projects across various phases of delivering ML products. To be successful, you should have significant experience with NLP, LLMs (e.g., GPT, BERT, T5), and ML system design. You will also collaborate with engineering, product, and business team members. You should be excited about being a part of a fast-paced startup that makes a real impact across important industries including crisis response, public safety, healthcare, and more.

 

What you’ll do

  • Ideate, develop, and deploy scalable and cost-efficient machine learning and natural language processing models
  • Build scalable infrastructure for training, evaluating, and serving models
  • Analyze datasets to improve current approaches and prototype new ideas
  • Develop tools and processes for sourcing, analyzing, labeling, and storing conversation data
  • In all key responsibilities, view work through critical ethical lenses including fairness, quality, and trust
 

Requirements for a great fit

  • Significant experience (typically 3+ years) of building production-grade machine learning models in industry and/or academic research settings
  • Expertise in various facets of NLP, such as conversational dialogue, speech recognition, text-to-speech, natural language generation, text classification, question-answering, chatbots, and text summarization
  • Strong programming skills in Python and deep-learning / NLP tools (Scikit-learn, Pandas, PyTorch, Tensorflow, NLTK, spaCy, Jupyter)
  • Experience building end-to-end scalable ML infrastructure with on-premise or cloud platforms including Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure
  • Strong teamwork skills including communication and collaboration with both technical and non-technical team members
  • Open mindedness as demonstrated by ability to consider other perspectives and feedback, ability to engage in discussions with professionalism and empathy, and a strong desire to learn
 

Benefits

  • Generous retirement, equity, healthcare, and PTO policies
  • Flexibility to work remotely from anywhere in the United States
  • ReflexAI is an equal opportunity employer. We are committed to equal employment opportunities regardless of race/ethnicity, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, military status, neurodiversity, or any other federal, state or local protected class in the United States.

Top Skills

Amazon Web Services
Azure
BigQuery
Dbt
Docker
Fivetran
Google Cloud Platform
Kubernetes
Machine Learning
Natural Language Processing
Python
SQL
Terraform
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The Company
HQ: New York City, New York
50 Employees
Year Founded: 2022

What We Do

ReflexAI brings the best in machine learning and natural language processing to mission-driven, people-centric organizations via innovative tools that transform how they train, develop, and empower their frontline teams.

Why Work With Us

At ReflexAI, we’re driven by a singular mission: to deliver better tools for teams and the individuals they serve at contact centers and human-led support services. Founded by industry experts with a passion for leveraging technology to make a difference, we’re all about collaboration and measurable outcomes – powered by best-in-class technology

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