Fresh remote Machine Learning Engineer jobs in Chile

Explore latest remote Machine Learning Engineer opportunities from leading companies hiring in Chile.

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Fresh remote Machine Learning Engineer jobs in Chile (6)

Sr. Machine Learning Engineer

3 days ago

Full-time

Chile, Worldwide

$115,850 to $184,307 per year

Key requirements: 5 years of experience, Java, C#, Python, Spark, Hadoop, BigQuery, Athena, Machine learning infrastructure, CI/CD, Docker, Kubernetes, Messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ)

iHerb

iHerb is a global B2C online retailer based in Irvine, CA, specializing in health and wellness products, including vitamins, supplements, and sports nutrition, serving customers in over 180 countries.

Remote policy: iHerb supports remote work and hires globally, with team members located in various regions. Specific remote work conditions may vary by role.

R&D Software Engineer

7 days ago

Full-time

Chile, Worldwide

Key requirements: AI systems development, Python, AI/ML frameworks, LLMs, emerging architectures, rapid prototyping, massive datasets, distributed systems, technology trend prediction, high-level strategy, small team collaboration

Invisible Technologies

Invisible Technologies is a remote-based B2B tech-enabled services company specializing in AI-driven solutions for enterprise automation, operating primarily in the AI and technology sectors.

Remote policy: Invisible Technologies supports remote work and hires from various regions, including the United States, North America, and worldwide, allowing team members to work flexibly across time zones.

Machine Learning Engineer (Life Sciences)

9 days ago

Full-time

Chile, South America

Key requirements: 2 years of experience, Deep learning architectures, Biotech applications, Drug discovery, Python, ML libraries, MLOps in AWS, Handling noisy datasets, GenAI solutions, Experiment design, Data-driven reporting

Loka, Inc

Loka, Inc. is a Silicon Valley-based B2B consultancy specializing in generative AI, machine learning, and Big Data solutions for the healthcare and life sciences industries.

Remote policy: Loka, Inc is a fully remote company that supports a flexible work environment, with team members located in various regions. While based in Silicon Valley and San Francisco, there are no explicit geographic restrictions for applicants.

Senior Machine Learning Engineer, Ads

15 days ago

Full-time

Chile, Worldwide

$120,000 to $180,000 per year

Key requirements: 3 years of experience, Machine learning frameworks (TensorFlow, PyTorch), End-to-end ML model deployment, Feature engineering, Ads domain experience, Cross-functional collaboration

Reddit is a San Francisco-based B2C social news aggregation platform that connects diverse communities through user-generated content, primarily generating revenue via advertising and premium subscriptions.

Remote policy: Reddit is a remote-friendly company that supports flexible work arrangements, hiring from various locations including the Netherlands and the United Kingdom, with team members collaborating across time zones.

Machine Learning Engineer, Ads

15 days ago

Full-time

Chile, Worldwide

$185,800 to $260,100 per year

Key requirements: 3 years of experience, Machine learning frameworks (TensorFlow, PyTorch), Ad ranking, Bidding optimization, Feature engineering, Experience in Ads domain, Cross-functional collaboration

Sr. Machine Learning Scientist

30 days ago

Full-time

Chile, Worldwide

$159,200 to $199,000 per year

Key requirements: 5 years of experience, AWS, MLOps, Python, NLP, LLMs, Model retraining, Containerization, Agile development, Technical leadership, Human-in-the-Loop workflows

G-P

Globalization Partners (G-P) is a SaaS-based global talent management platform headquartered in the U.S., specializing in Employer of Record solutions for businesses looking to expand into over 180 countries.

Remote policy: Globalization Partners (G-P) is a remote-first company that hires globally, supporting team members in over 180 countries. We foster a flexible work environment that encourages collaboration across various time zones.