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Senior Machine Learning Engineer (LatAm)

Remote:

Full Remote

Contract:

Full time

Salary:

65 - 95K yearly

Experience:

Mid-level (2-5 years)

Work from:

Latin America

Offer summary

Qualifications:

3+ years building ML models, Expertise in NLP facets, Strong Python & deep-learning skills, Experience with cloud platforms.

Key responsabilities:

Develop scalable ML and NLP models
Analyze datasets and prototype new ideas
Build infrastructure for model training
Maintain ethical standards in work

ReflexAI Information Technology & Services Startup https://www.reflexai.com/

11 - 50 Employees

See more ReflexAI offers

Job description

Reports to: Head of AI
Location: Latin America
Hours: Full-time
Compensation: $65K - $95K Base Pay + Equity

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

Compensation