Machine Learning Engineer Jobs

New

Senior machine learning engineer

Location

Japan , Tokyo

Salary:

10000000.00 - 16000000.00 JPY / Year

Randstad

Expiration Date

October 11, 2027

Requirements

Empathy with mission, vision and values
6+ years' experience working as a software/machine learning engineer
5+ years' experience as a Machine Learning Engineer
4+ years' experience as a Deep Learning engineer
Experience in developing GNN or generative models or Geometric Deep Learning
At least 2 publications as first author in international conferences/ journals

Job Responsibility

Appropriate design of evaluation methods based on task-specific understanding of metric properties
Hypothesis proposal, development implementation and performance validation of machine learning models for compound information
Proposal and creation of features according to data and purpose
MLOps, implementation of distributed computing environments
Training machine learning models, exploring and adding data to be used for inference
Search for relevant papers, application and validation of concepts

What we offer

休憩室
更衣室
健康保険
厚生年金保険
雇用保険
賞与

Fulltime

New

Machine Learning Engineer

As a Machine Learning Engineer at the global jewelry company, you will play a ke...

Location

Turkey , Istanbul

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
Experience in the retail industry or e-commerce is highly desirable
Strong problem-solving abilities, solid background in algorithms and data structures
Strong proficiency in Python
Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib)
Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop
Proficiency in SQL and experience with relational databases
System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline
Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes)

Job Responsibility

Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain
Data Pipeline Engineering: Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency
Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain
Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions
Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability
Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes
Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration

What we offer

Paid Vacation
Hybrid Work (home/office)
Sick Days
Sport/Insurance Compensation
Holidays Day Off
English Classes
Training Compensation
Transportation compensation

New

Machine Learning Engineer

As a Machine Learning Engineer at the global jewelry company, you will play a ke...

Location

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
Experience in the retail industry or e-commerce is highly desirable
Strong problem-solving abilities, solid background in algorithms and data structures
Strong proficiency in Python
Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib)
Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop
Proficiency in SQL and experience with relational databases
System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline
Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes)

Job Responsibility

Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain
Data Pipeline Engineering: Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency
Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain
Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions
Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability
Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes
Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

New

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....

Location

United States , Boston

Salary:

170000.00 - 230000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience building and scaling large datasets and training large models in distributed compute environments
Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology

Job Responsibility

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
Develop scalable, distributed training pipelines for large models on high-performance compute environments
Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI

What we offer

competitive base salaries
meaningful equity
benefits
generous equity package

Fulltime

New

Senior Machine Learning Engineer (Health)

WHOOP is an advanced health and fitness wearable, on a mission to unlock human p...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred
5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems
Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)
Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines
Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code
Strong communication skills to collaborate across engineering, research, and product teams
Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)
Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems
Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems
Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale

Job Responsibility

Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers
Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency
Collaborate with researchers and product teams to align model development with health insights and member impact
Participate in on-call rotations for data science services, ensuring uptime and performance in production environments

What we offer

equity
benefits

Fulltime

New

Machine Learning Engineer II - Training

As a Machine Learning Engineer II on our Training team, you will develop algorit...

Location

United States , Boston

Salary:

125000.00 - 170000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
2+ years of ML engineering, applied research, or a similar role
2+ years experience applying advanced mathematical and statistical techniques
Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
Proficiency in scientific Python and SQL
Excellent verbal and written communication skills

Job Responsibility

Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
Contribute to technical roadmap development and architectural decision-making for projects that you are involved in
Work closely with a team of data scientists in developing algorithms that power member-facing features
Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

What we offer

equity
benefits

Fulltime

New

Robotics Machine Learning Engineer

In this role you will close the loop between human instruction and robot automat...

Location

United States , Watertown

Salary:

90000.00 - 190000.00 USD / Year

Tutor Intelligence

Expiration Date

Until further notice

Requirements

Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
Strong software skills
Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations
General robotics knowledge & experience

Job Responsibility

Train, fine tune, and deploy visual and language foundation models across our stack
Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential

What we offer

generous equity
fully covered health + dental
unlimited PTO

Fulltime

New

Senior Machine Learning Engineer

Join Truveta’s Intelligence Platform and Applications team to engineer the next ...

Location

United States , Seattle

Salary:

165000.00 - 190000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment
Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A
Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL
Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines
Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP)
B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field

Job Responsibility

Design and reason with agentic AI frameworks
Bring a deep understanding of LLM fundamentals
Work fluently with embeddings and vector stores
Excel at model fine-tuning
Think and build like engineers
Collaborate across boundaries
Demonstrate senior-level ownership
Understand evaluation deeply
Adapt and learn continuously
Act with purpose

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)

Fulltime

Machine Learning Engineer

Zoolatech

Location:
Poland, Wroclaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 14, 2025

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Location:Poland, Wroclaw

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 14, 2025

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Job Posted:
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