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Machine Learning Engineer jobs in United States

Data Engineer

Bjak

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
30+ days ago
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Senior Full Stack Developer (Generative AI Specialist)

Halosis

Jakarta Utara
On-site
IDR 664,893,000 - 997,341,000
30+ days ago

Senior Data Scientist

ilmuOne Data

Daerah Khusus Ibukota Jakarta
On-site
IDR 300,000,000 - 400,000,000
30+ days ago

Data Analyst

cmlabs

Kota Malang ꦠꦸꦛꦩꦭꦁ
On-site
IDR 200,000,000 - 300,000,000
30+ days ago

Lead Data Analyst

PT Dentsu Indonesia

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
30+ days ago
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Lead Data Scientist

Coca-Cola Europacific Partners

Jakarta Selatan
On-site
IDR 1,495,264,000 - 1,993,687,000
30+ days ago

Jr. Data Scientist

ilmuOne Data

Daerah Khusus Ibukota Jakarta
On-site
IDR 300,000,000 - 400,000,000
30+ days ago

Data Analyst

Talent Insider

Jakarta Selatan
On-site
IDR 200,000,000 - 300,000,000
30+ days ago
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Manager, Data Scientist

Tink

Daerah Khusus Ibukota Jakarta
Hybrid
IDR 492,368,000 - 820,614,000
30+ days ago

Data Analyst

Talent Insider

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
30+ days ago

Senior Data Scientist

Kredivo Group

Daerah Khusus Ibukota Jakarta
On-site
IDR 300,000,000 - 400,000,000
30+ days ago

Associate Data Science Specialist

YBN - Head Office

Indonesia
On-site
IDR 200,000,000 - 300,000,000
30+ days ago

Senior Data Scientist - Search

GoTo Group

Daerah Khusus Ibukota Jakarta
On-site
IDR 488,360,000 - 813,935,000
30+ days ago

Data Scientist

cmlabs

Kota Malang ꦠꦸꦛꦩꦭꦁ
On-site
IDR 300,000,000 - 400,000,000
30+ days ago

Data Engineer

Integrity

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
30+ days ago

Data Scientist - NPD

Kredivo Group

Daerah Khusus Ibukota Jakarta
On-site
IDR 408,030,000 - 652,849,000
30+ days ago
Data Engineer
Bjak
Daerah Khusus Ibukota Jakarta
On-site
IDR 200.000.000 - 300.000.000
Full time
30+ days ago

Job summary

A leading insurance aggregator in Indonesia is seeking an experienced data specialist to build AI systems for enhancing real-world applications. You'll design data workflows and ensure high-quality datasets while collaborating with teams across the region. Ideal candidates have strong backgrounds in data cleaning and machine learning. This role offers a unique opportunity for growth in a high-impact environment with flexible work arrangements and competitive compensation.

Benefits

Housing rental subsidies
Quality company cafeteria
Health, dental & vision insurance
Unlimited, flexible time off

Qualifications

  • Proven experience preparing datasets for machine learning or fine-tuning large models.
  • Strong skills in data cleaning, preprocessing, and transformation for both text and image data.
  • Hands-on experience with data labeling workflows and quality assurance for labeled data.

Responsibilities

  • Collect, clean, and preprocess user-generated text and image data for fine-tuning large models.
  • Design and manage scalable data labeling pipelines.
  • Build and maintain automated datasets for content moderation.

Skills

Data cleaning
Data preprocessing
Machine learning
Python
SQL
Job description
Transform Language Models into Real-World Applications

We’re building AI systems for a global audience. We are living in an era of AI transition – this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This is a remote role based in Indonesia, working closely with our HQ in Malaysia and cross-functional regional teams. You’ll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that scale fast and matter deeply.

Why This Role Matters

You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

What You’ll Do
  • Collect, clean, and preprocess user-generated text and image data for fine-tuning large models
  • Design and manage scalable data labeling pipelines, leveraging both crowdsourcing and in-house labeling teams
  • Build and maintain automated datasets for content moderation (e.g., safe vs unsafe content)
  • Collaborate with researchers and engineers to ensure datasets are high-quality, diverse, and aligned with model training needs
What Is It Like
  • Likes ownership and independence
  • Believe clarity comes from action – prototype, test, and iterate without waiting for perfect plans.
  • Stay calm and effective in startup chaos – shifting priorities and building from zero doesn’t faze you.
  • Bias for speed – you believe it’s better to deliver something valuable now than a perfect version much later.
  • See feedback and failure as part of growth – you’re here to level up.
  • Possess humility, hunger, and hustle, and lift others up as you go.
Requirements
  • Proven experience preparing datasets for machine learning or fine-tuning large models
  • Strong skills in data cleaning, preprocessing, and transformation for both text and image data
  • Hands‑on experience with data labeling workflows and quality assurance for labeled data
  • Familiarity with building and maintaining moderation datasets (safety, compliance, and filtering)
  • Proficiency in scripting (Python, SQL) and working with large‑scale data pipelines
What You’ll Get
  • Flat structure & real ownership
  • Full involvement in direction and consensus decision making
  • Flexibility in work arrangement
  • High‑impact role with visibility across product, data, and engineering
  • Top‑of‑market compensation and performance‑based bonuses
  • Global exposure to product development
  • Lots of perks – housing rental subsidies, a quality company cafeteria, and overtime meals
  • Health, dental & vision insurance
  • Global travel insurance (for you & your dependents)
  • Unlimited, flexible time off
Our Team & Culture

We’re a densed, high‑performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.

About Bjak

BJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting‑edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you’re excited to build real‑world AI systems and grow fast in a high‑impact environment, we’d love to hear from you.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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