Machine Learning Engineer

  • June 30, 2025
  • Programming & Tech
  • Full time
  • Remote
  • Entry level
  • 2000 to 3000 USD
Apache Spark
Machine Learning
MLOps
Python
Pytorch
English intermediate
Spanish advanced

8 talents have already applied, you are still on time!

YN
FA
MS
Share it on:

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.

You might also like to apply for these jobs

Apply now
How it works for talents

Get hired with Mappa

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.

step-1
2

Get matched

Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.

step-2
3

Meet the company

Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.

step-3
4

Get hired

Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.

step-4

Ready to start?

Apply
Extra services

Take your international career to
the next level

Dollar payments

Get paid in US dollars while working remotely and earn ~50% more than working locally.

Career growth

Strengthen your international career by working at the most exciting companies across the US, and Europe.

Benefits

Mappa provides you with an extra annual salary. Make a difference and get rewarded for your efforts and achievements.
Get started

Secure your dream job
in just a few steps

Apply now