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Machine Learning Engineer
Location: Remote (LatAm time zones preferred)
Type: Full-time
Reports to: CTO
About Mappa
Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. Our ML stack is core to transforming raw audio into structured behavioral data at scale.
Role Purpose
Design, train, and deploy machine learning models that power Mappa’s behavioral inference engine. You'll work across the ML lifecycle—from data ingestion to optimized neural network deployment—ensuring speed, precision, and reliability at scale.
Key Outcomes (First 6 Months)
Develop and productionize at least two core models contributing directly to behavior extraction.
Optimize inference performance by reducing model latency and memory consumption by ≥ 30%.
Implement a modular training pipeline that supports continuous experimentation and deployment.
Collaborate with data and infra teams to streamline the ML-to-production workflow using MLOps best practices.
Core Responsibilities
Design, train, and evaluate ML models—especially neural networks—for behavioral and linguistic data.
Optimize tensor operations for efficient computation and memory usage in real-time environments.
Implement scalable pipelines for data preprocessing and feature engineering using tools like Spark or Kafka.
Apply model evaluation techniques, error analysis, and performance monitoring in production.
Collaborate with Engineering and Data Science to integrate models into the voice-AI infrastructure.
Contribute to MLOps processes including CI/CD for models, versioning, and experiment tracking.
Must-Have Skills
3–5 years of experience in machine learning or applied deep learning roles.
Strong Python skills and deep proficiency in PyTorch (or equivalent frameworks).
Experience with neural network design, training optimization, and inference tuning.
Familiarity with MLOps practices and tools for model deployment and monitoring.
Understanding of distributed data processing tools (e.g., Apache Spark, Kafka).
Strong grasp of model evaluation, bias/error analysis, and validation workflows.
Fluent English.
Nice-to-Have
Experience with voice/audio data or NLP tasks.
Familiarity with vector databases, real-time inference, or edge model deployment.
Exposure to infrastructure-as-code tools and scalable cloud environments.
Who You Are
You turn data into models and models into real-world impact. You care about performance—computational, behavioral, and business—and thrive in fast-moving environments where research meets production. You bring scientific rigor and engineering discipline to every experiment.
Why Join Mappa
Cutting-edge tech: Tackle voice-AI, real-time inference, and behavioral modeling at once.
High ownership: Build and ship models that power our core product.
Remote-first: Join a distributed team across LatAm and the U.S.
We thrive in the technology industry by using AI and voice analysis to connect diverse talent with opportunities. Our innovative approach saves time and costs, fostering a dynamic work environment where unique perspectives are celebrated and growth flourishes.
Quickly validate your skills through audio responses while applying—It's just like recording an audio on WhatsApp.
1
Apply for a job
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.
2
Get matched
We analyze the nuances of your voice, your career so far, and the quality of your audio responses to mapp your profile and match you with the right company.
2
Get matched
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.
3
Meet the company
We’ll highlight all the reasons why the company should hire you, and you will receive an invitation for an interview to showcase those reasons.
3
Meet the company
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.
4
Get hired
Mappa will handle everything from contract to payment, allowing you to focus on delivering your best work.
4
Get hired
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.