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The pragmatic engineer’s choice for building scalable, efficient, and maintainable systems. Designed with simplicity and performance in mind, Go is a great fit for data engineers tackling high-throughput pipelines, distributed systems, or lightweight microservices. Its strong concurrency model (goroutines, channels) makes it ideal for handling parallel workloads, while its minimal runtime overhead ensures speed without the verbosity of C++ or the baggage of Java.
However, Go’s simplicity can feel spartan. No generics (until recently), no exceptions, and a strict focus on “the Go way” can frustrate those coming from more expressive languages. Its ecosystem is solid but lacks the rich libraries of Python or Java, making some tasks (e.g., advanced ML or data wrangling) less convenient.
Use Go when you need clean, performant code that’s easy to maintain. Skip it for heavy data science or one-off scripts. It’s not flashy, but it gets the job done—efficiently, if a bit rigidly.
Used together with Go
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Jobs in using Go for but please no
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machine learning engineer
1108_Backend Engineer - MLOps Platform @ tier-iv-inc
JP | 2025-12-28
| JPY
357334 - 1232667
/ month
This position involves developing machine learning infrastructure for autonomous driving, handling tasks from model monitoring to data visualization, with the notable differentiator of integrating...
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MLOps, AI/ML, Python, Go, AWS, API, CI/CD | ||
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machine learning engineer
Sr. Machine Learning Engineer, GAI Search Platform @ moveworksai
US | 2025-12-26
| USD
227000 - 275000
/ year
Moveworks hunts senior/staff engineers for a GenAI Search Platform team to harden enterprise QA with traditional IR and LLM-driven retrieval. The job blends information retrieval, ranking, and NLU...
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GenAI, AI/ML, BI, LLM, Data Science, RAG, Python, Go, Cloud Computing, Databricks | ||
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promoted
Masthead DataMasthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data. |
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machine learning engineer
Machine Learning Engineer @ scribd
US | 2025-12-26
| USD
126000 - 196000
/ year
Scribd's Machine Learning Engineer II sits on the Orion platform, building and tuning real-time ML systems that power recommendations and AskAI. Expect end-to-end ownership—from ingestion and...
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Spark, AI/ML, GenAI, Python, Go, Scala, Airflow, Databricks, AWS, Amazon SageMaker, LLM, API, Cloud Computing, AWS Lambda, CloudWatch, Datadog, Terraform, Azure, GCP, Computer Science | ||
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machine learning engineer
Machine Learning Engineer @ scribd
US | 2025-12-26
| USD
103500 - 196000
/ year
Machine Learning Engineer II at Scribd, built to design, deploy, and optimize near real-time ML for millions across the Orion platform. Expect heavy exposure to an embedding-based retrieval stack...
read more »
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Spark, AI/ML, GenAI, Python, Go, Scala, Airflow, Databricks, AWS, Amazon SageMaker, LLM, API, Cloud Computing, AWS Lambda, CloudWatch, Datadog, Terraform, Azure, GCP, Computer Science | ||
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machine learning engineer
Machine Learning Engineer Intern @ tinder-incorporated
US | 2025-12-25
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0
/ hour
This internship at Tinder’s ML team offers experience in designing machine learning algorithms across core domains like Recommendations and Trust & Safety, with a unique focus on large-scale...
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AI/ML, Python, Computer Science, Data Science, PyTorch, TensorFlow, Databricks, Spark, Go, Java, Scala | ||
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machine learning engineer
2026 AI/ML Intern - Machine Learning Engineer @ adobe
US | 2025-12-22
| USD
45 - 55
/ hour
Adobe’s ML internship offers a stake in real-world, large-scale modeling at a brand with broad reach, but the description reads like a research lab masquerading as a product role. It’s paid,...
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AI/ML, Analytics, Management, Go, PhD, Computer Science, Data Analytics, Python, Java, C, R, MATLAB |
