Machine Learning Developer Jobs

Software Development Engineer II – Machine Learning Operations

We are seeking a Full-Stack Engineer to be a key member of the Everseen ML Opera...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

2-3 years of work experience in a relevant role and global SaaS company
Experience in ML infrastructure, MLOps, or Platform Engineering
Strong programming skills, with experience in Front-End development, in React and Angular
Understanding ML lifecycle, model versioning, and monitoring
Experience with back-end frameworks on top of NodeJS ( NestJS )
Hands-on experience with Kubernetes, Docker, and cloud services
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Excellent communication and collaboration skills
Experience with Infrastructure as Code (e.g., Terraform)
Possesses a comprehensive understanding of technical concepts and terminology relevant to Everseen's products and services

Job Responsibility

Design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience
Design and implement reusable, testable, efficient, and elegant code based on requirements
Ensure adherence to coding standards and best practices
Create, maintain, and run unit tests for both new and existing applications and services
Aim to deliver defect-free and well-tested solutions
Analyze and collect data from various sources such as log files, application stack traces, and thread dumps
Utilize data analysis to identify trends, patterns, and potential areas for improvement
Create and maintain CI/CD integration using various tools
Automate the build, test, and deployment processes to ensure efficiency and reliability

Fulltime

Machine Learning Research Associate

The Machine Learning research team at Hewlett Packard Labs seeks highly motivate...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience in deep learning, LLM, Agentic AI, and reinforcement learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Experience in Machine Learning frameworks like PyTorch - required
Strong programming skills and experience with Python
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Demonstrated effective communication and collaboration skills
Demonstrated ability for original research papers published in top-tier conferences or journals.

Job Responsibility

Provide thought leadership and technical influence both internally and externally to HPE
Work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Publish in top AI conferences and workshops, including NeurIPS, AAAI, and ICML.

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI and Machine Learning Engineer

We are seeking AI/ML & Innovation Engineer who will be leading initiatives acros...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master’s degree is desirable
Typically, 2-4 years’ experience
A solid understanding of mathematics, including linear algebra, calculus, and probability theory
Proficiency in programming languages such as Python, R, or Java
Knowledge of relevant libraries and frameworks like TensorFlow, PyTorch, scikit-learn, or Keras
Experience with SQL for data manipulation and database querying
Understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc

Job Responsibility

Design, develop, and implement machine learning models and algorithms
Prepare and pre-process large datasets for machine learning tasks
Train machine learning models using appropriate algorithms and frameworks
Collaborate with cross-functional teams
Contribute to design review sessions
Deals with real-world datasets
Provides feedback to peers
Contribute to stand-up meetings
Prepare comprehensive presentations and reports
Interpret and report data findings

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...

Location

United States , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 7-10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
A strong foundation in mathematics and statistics
Proficiency in programming languages such as Python, R, or Java
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Advanced knowledge and experience in deep learning

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Has experience in providing technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

New

Sr. Machine Learning Engineer

Our Machine Learning Team is developing next-generation AI capabilities for High...

Location

United States , Seattle

Salary:

171000.00 - 254100.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in developing and deploying machine learning models and systems
Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.)
In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing
Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases
Strong problem-solving skills and ability to analyze complex data sets
Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders
An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals
Comfortable with modern open source technologies and tools
Passion to learn new technologies and infrastructure

Job Responsibility

Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability
Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings
Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills
Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

New

Senior Machine Learning Engineer

Our Machine Learning Team is developing next-generation AI capabilities for High...

Location

Canada , Vancouver

Salary:

146000.00 - 220000.00 CAD / Year

Highspot

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in developing and deploying machine learning models and systems
Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.)
In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing
Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases
Strong problem-solving skills and ability to analyze complex data sets
Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders
An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals
Comfortable with modern open source technologies and tools
Passion to learn new technologies and infrastructure

Job Responsibility

Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability
Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings
Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills
Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting
Flexible PTO
Generous Holiday Schedule + 5 Days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
Flexible work schedules
Access to Coaches and Therapists through Modern Health
2 Volunteer days per year
Monthly transportation allowance for employees that work in our Vancouver Hub location
Employees are eligible to receive stock options

Fulltime

New

Senior Software Engineer, Machine Learning

At Machina Labs, we’re reshaping manufacturing through advanced robotics and mac...

Location

United States , Chatsworth

Salary:

155000.00 - 190000.00 USD / Year

Machina Labs

Expiration Date

Until further notice

Requirements

MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field
4+ years of hands-on experience in machine learning systems, algorithms, and applications (e.g. deep learning, time series analysis, etc.)
Experienced and very comfortable coming up with machine learning architectures and training models from scratch
Extensive Python programming experience
Familiarity with big data platforms (Hadoop, Spark, Hive) and analytics environments (Databricks, Sagemaker/Azure ML, Jupyter)
Experience in build/release systems and processes
Quick learner of new technologies and experienced in fast-paced iterative design
Strong communicator with the ability to explain complex topics to technical and non-technical audiences
Proven track record of being able to solve complex problems independently and as part of an integrated team

Job Responsibility

Identify opportunities for machine learning automation and predictive modeling by analyzing available data and collaborating with engineers and manufacturing process experts
Conduct data mining, develop model architectures, train and deploy models, and define metrics aligned with business objectives
Design, develop, and deploy ETL and data cleansing processes to extract relevant features for modeling (in collaboration with other team members)
Assist team members in data analysis and interpretation
Design and conduct experiments to test and validate solutions and models
Build a production-ready pipeline supporting multiple machine learning models
Develop monitoring tools for data quality and system performance
Provide guidance to team members and actively participate in interview processes to hire additional team members

What we offer

Medical, Dental, Vision
PTO
Stock Options

Fulltime

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

Machine Learning Developer

Edaptive Computing

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 08, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Machine Learning Developer