Junior Machine Learning Engineer (ML Applications in Web3)
Full time
Remote
Compensation is not specified
Role
Machine Learning Engineer
Description
About Openmesh and Xnode
Few dominant companies control a vast majority of the world's data and IT infrastructure, raising concerns about trust and inequality. Openmesh is an innovative open-source cloud infrastructure and global data network that aims to store global data securely and without intermediaries. It currently covers around 80% of the crypto and web3 ecosystem and plans to expand its coverage to include public health and scientific research data. Openmesh allows anyone to create and connect their own decentralized data cloud, reducing costs and setup time. It ensures universal access and prevents interference from regulators or corporations.
Core Products
- Xnode: A revolutionary platform that enables developers to build their own decentralized data clouds quickly and affordably. It reduces costs by up to 15 times and saves over 95% of deployment time.
- Pythia: A powerful analytics and query engine that transforms raw data into actionable insights. It enables the creation and deployment of impactful data products.
- Unified APIs: Simplified access to crypto and web3 data without licenses or setup fees. These APIs provide a single endpoint for easy worldwide access.
Our Vision
Our vision is to level the playing field and address information inequality on a large scale. Reliable and unfiltered data is essential for the functioning of websites, apps, and the internet as a whole. We believe in the fundamental right to access unbiased information in a free and democratic society. Openmesh is built on open-source principles, ensuring data integrity, decentralization, and community governance.
The Opportunity
- Learn about cutting-edge technologies like Data, Cloud, Blockchain, AI, and Web3 Infrastructure from industry leaders.
- Gain access to our technology, participate in hackathons and virtual conferences, and benefit from mentoring and R&D infrastructure.
- Develop problem-solving skills, improve teamwork, and present ideas professionally through assigned projects.
- Acquire specialized knowledge and skills that will prepare you for a successful career at Openmesh.
- Outstanding performers may receive full-time job offers and have a chance to win cash prizes from mini-hackathons.
About the Role
As a Junior Machine Learning Engineer, you will play a crucial role in integrating machine learning models into the Xnode ecosystem for data processing and analysis. Your work will involve collaborating with Pythia developers to enhance data analytics using machine learning and contribute to the development of large-scale open data clouds and analytics engines.
Responsibilities
- Xnode ML Integration: Integrate machine learning models into the Xnode ecosystem for advanced data processing and analysis.
- Innovative ML Applications: Develop innovative machine learning applications that enhance the capabilities of the Xnode data cloud.
- Pythia ML Integration: Collaborate with Pythia developers to integrate machine learning models into data analytics processes for improved insights.
- Data Labeling: Contribute to data labeling to enhance the quality of training datasets for machine learning models.
- Performance Evaluation: Evaluate the performance of machine learning models and iterate on improvements.
Qualifications
- Bachelor's or Master's degree in Machine Learning, Computer Science, or related fields.
- Proficiency in machine learning frameworks like TensorFlow and PyTorch.
- Understanding of blockchain and decentralized technologies.
- Strong problem-solving and analytical skills.
- Excellent programming skills, particularly in Python.
Why Join Us
- Lead the development of a ground-breaking product that redefines data management and accessibility.
- Collaborate with a global community of innovators in the decentralized space.
- Make a significant impact on global data access and utilization, promoting transparency and efficiency.
- Enjoy a dynamic, challenging, and rewarding work environment with competitive compensation and benefits.
How to Apply: Interested candidates should submit their resume and a cover letter highlighting their passion for decentralized technologies and their vision for Openmesh's future.
Skills Required
Openmesh Network
Website
www.openmesh.networkCompany size
Not specified
Location
United States
Description
Not specified
Peeter Luik
Software Developer
Part time
Remote
I’m actively looking for a native Russian speaker who can expertly conduct or participate in job interviews—especially those requiring strong communication, technical understanding, and professional presence. This person should feel at ease discussing software engineering, or related topics, while also being able to assess a candidate’s clarity, depth, and overall fit. If you’re a fluent Russian speaker with the confidence and experience to shine in a technical interview setting, I’d be excited to connect and explore the opportunity with you.
Payment in Crypto
Frank Ralph
Architect designers
Sydney, Australia
Sydney, Australia
Part time
Remote
AutoCAD
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Payment in Crypto
Gabenius
Full-time Hackintosh iOS development
Full time
Hybrid
We are currently seeking a skilled professional to join our team as a Full-time Hackintosh iOS Developer. In this role, you will be responsible for developing iOS applications for our Hackintosh platform. The ideal candidate will have a strong background in Web, Mobile, and Software Development, Engineering & Architecture, Customer Service, and Accounting and Consulting Specialist.
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.
Payment in Crypto
Ubiminds
Senior Data Engineer (432)
Full time
Remote
Interested in advancing your career internationally? We are here to help!
Ubiminds is a people-first company that collaborates with American software product firms to expand their development capabilities by handpicking elite talent from Brazil. They offer a unique mix of staff augmentation and employer-of-record services.
Ubiminds is aiding a rapidly growing technology and data company focused on APIs, developing modern quoting, enrollment, and member-management solutions for the health insurance and employee benefits sector. They are in the process of expanding their engineering team and introducing new ML/AI-powered features across their platform.
Job Responsibilities:
Take the lead in all ML/AI engineering initiatives as the primary dedicated member in this domain.
Develop, deploy, and deliver ML/AI-driven functionalities across various products.
Collaborate closely with Product, Engineering, and Operations to identify lucrative opportunities and transform them into operational systems.
Manage the complete lifecycle of ML solutions including problem definition, prototyping, modeling, deployment, monitoring, and ongoing enhancement.
Set up best practices, tools, and standards for ML/AI development, experimentation, and visibility.
Enhance data pipelines and feature repositories to support robust ML workloads.
Partake in architecture assessments, roadmap planning, and cross-team coordination.
Mentor colleagues on ML/AI concepts and contribute to team growth as the ML/AI practice expands.
Contribute to a top-notch codebase by following TDD, conducting code reviews, and adhering to well-structured engineering practices.
Required Qualifications:
Proven experience in building and launching ML/AI systems in production environments.
Proficiency across the ML lifecycle - from data preparation to deployment and monitoring.
Hands-on familiarity with advanced AI methodologies such as LLMs and traditional ML algorithms.
8–10+ years of experience in software or ML engineering.
Proficient in at least one major ML/AI programming language (Python preferred).
Comfortable collaborating in a diverse engineering environment (team predominantly uses Ruby).
Skilled in building systems from ground zero in ambiguous settings with substantial autonomy.
Strong communication skills and keenness for transparent, positive collaboration.
Desired Skills:
Experience in designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
Knowledge of data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
Exposure to infrastructure supporting ML workloads like orchestration and experiment tracking.
Previous experience in mentoring engineers or familiarizing stakeholders with ML/AI practices.
Passion for API-centric products and robust engineering regulations.
Team & Workplace Environment:
A collaborative, experienced engineering organization.
Emphasis on continuous improvement with practices like TDD, pair programming, and code reviews.
Strong partnership with Product for exploration, prioritization, and architecture design.
Addressing impactful challenges in data, APIs, and intelligent system design.
High autonomy in work, contemporary engineering methodologies, and a focus on technical excellence.
About Ubiminds:
Our Culture:
Prioritizing people's needs above all else.
Cultivating a culture of continual self-improvement.
Valuing initiative, ownership, and dedication.
Emphasizing teamwork and collective growth.
Delivering exceptional services and surpassing expectations.
Promoting openness, honesty, and transparency at all times.
Perks and Benefits:
Integrated into a product-focused company with full team support in various areas.
Possess your own MacBook as part of a remote-first policy.
Access to tech discussions, events, and an esteemed community of engineers.
Free English lessons with a native speaker to enhance language skills.
Referral incentive for recommending new team members.
Enjoy office amenities like snacks, massages, beverages, and games at the Florianópolis HQ.
Recruitment Process:
Initial chat with a Tech Recruiter about the role and your background.
Completion of a behavior and code assessment as part of the tech evaluation.
Assessment review by Ubiminds' CS Manager.
Interview with the Hiring Manager before receiving an offer.
Completion of a background check throughout the hiring process.
Ubiminds is a people-first company that collaborates with American software product firms to expand their development capabilities by handpicking elite talent from Brazil. They offer a unique mix of staff augmentation and employer-of-record services.
Ubiminds is aiding a rapidly growing technology and data company focused on APIs, developing modern quoting, enrollment, and member-management solutions for the health insurance and employee benefits sector. They are in the process of expanding their engineering team and introducing new ML/AI-powered features across their platform.
Job Responsibilities:
Take the lead in all ML/AI engineering initiatives as the primary dedicated member in this domain.
Develop, deploy, and deliver ML/AI-driven functionalities across various products.
Collaborate closely with Product, Engineering, and Operations to identify lucrative opportunities and transform them into operational systems.
Manage the complete lifecycle of ML solutions including problem definition, prototyping, modeling, deployment, monitoring, and ongoing enhancement.
Set up best practices, tools, and standards for ML/AI development, experimentation, and visibility.
Enhance data pipelines and feature repositories to support robust ML workloads.
Partake in architecture assessments, roadmap planning, and cross-team coordination.
Mentor colleagues on ML/AI concepts and contribute to team growth as the ML/AI practice expands.
Contribute to a top-notch codebase by following TDD, conducting code reviews, and adhering to well-structured engineering practices.
Required Qualifications:
Proven experience in building and launching ML/AI systems in production environments.
Proficiency across the ML lifecycle - from data preparation to deployment and monitoring.
Hands-on familiarity with advanced AI methodologies such as LLMs and traditional ML algorithms.
8–10+ years of experience in software or ML engineering.
Proficient in at least one major ML/AI programming language (Python preferred).
Comfortable collaborating in a diverse engineering environment (team predominantly uses Ruby).
Skilled in building systems from ground zero in ambiguous settings with substantial autonomy.
Strong communication skills and keenness for transparent, positive collaboration.
Desired Skills:
Experience in designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
Knowledge of data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
Exposure to infrastructure supporting ML workloads like orchestration and experiment tracking.
Previous experience in mentoring engineers or familiarizing stakeholders with ML/AI practices.
Passion for API-centric products and robust engineering regulations.
Team & Workplace Environment:
A collaborative, experienced engineering organization.
Emphasis on continuous improvement with practices like TDD, pair programming, and code reviews.
Strong partnership with Product for exploration, prioritization, and architecture design.
Addressing impactful challenges in data, APIs, and intelligent system design.
High autonomy in work, contemporary engineering methodologies, and a focus on technical excellence.
About Ubiminds:
Our Culture:
Prioritizing people's needs above all else.
Cultivating a culture of continual self-improvement.
Valuing initiative, ownership, and dedication.
Emphasizing teamwork and collective growth.
Delivering exceptional services and surpassing expectations.
Promoting openness, honesty, and transparency at all times.
Perks and Benefits:
Integrated into a product-focused company with full team support in various areas.
Possess your own MacBook as part of a remote-first policy.
Access to tech discussions, events, and an esteemed community of engineers.
Free English lessons with a native speaker to enhance language skills.
Referral incentive for recommending new team members.
Enjoy office amenities like snacks, massages, beverages, and games at the Florianópolis HQ.
Recruitment Process:
Initial chat with a Tech Recruiter about the role and your background.
Completion of a behavior and code assessment as part of the tech evaluation.
Assessment review by Ubiminds' CS Manager.
Interview with the Hiring Manager before receiving an offer.
Completion of a background check throughout the hiring process.
Ubiminds
Engineering Manager (431)
USA
USA
Full time
Remote
Ubiminds is seeking an Engineering Manager to join their team. This role requires a blend of strong leadership skills and hands-on technical expertise. The ideal candidate will excel in team building, software delivery, and taking ownership of end-to-end project outcomes.
Responsibilities include mentoring and developing engineers, ensuring high levels of productivity and reliability within the engineering teams, setting and maintaining engineering standards, leading team roadmaps and priorities in collaboration with other departments, designing and maintaining APIs, backend services, systems, and supporting user-facing experiences, overseeing partner integrations from start to finish, managing engineering tasks while also contributing technically when necessary, planning and executing work on monthly and quarterly timelines, liaising with external partners for efficient solutions, leading recruitment efforts, and facilitating team growth in multiple streams.
Key requirements include proven experience in leading engineering teams that consistently deliver production software, competence in balancing people management with technical contributions, expertise in designing and building scalable APIs, hands-on experience in developing AI or ML features/projects, adeptness in planning and executing projects over different time horizons, exceptional organization and collaboration skills, proficiency in English communication, and deep knowledge of Ruby or Rust programming languages.
Desirable qualifications include experience in regulated or data-heavy environments, familiarity with event-driven architectures or messaging systems, prior experience mentoring other tech leads or engineering managers, exposure to distributed or offshore team environments, and a background in platform or integration-driven product development.
The chosen candidate will demonstrate leadership over two engineering teams of varying seniority levels, emphasizing ownership, collaboration, autonomy, and continuous improvement within the teams. Benefits of this role include comprehensive healthcare coverage, FSA options, a flexible PTO policy, pre-tax commuting benefits, and a home office stipend for ensuring comfortable remote work arrangements.
The interview process involves an initial discussion with the Tech Recruiter, followed by the client's recruitment process, ultimately leading to a formal job offer. Ubiminds may utilize AI tools to aid in specific hiring processes, such as application review or resume analysis, although final decisions are made by human evaluators. For inquiries concerning data processing, candidates are encouraged to reach out for further clarification.
Responsibilities include mentoring and developing engineers, ensuring high levels of productivity and reliability within the engineering teams, setting and maintaining engineering standards, leading team roadmaps and priorities in collaboration with other departments, designing and maintaining APIs, backend services, systems, and supporting user-facing experiences, overseeing partner integrations from start to finish, managing engineering tasks while also contributing technically when necessary, planning and executing work on monthly and quarterly timelines, liaising with external partners for efficient solutions, leading recruitment efforts, and facilitating team growth in multiple streams.
Key requirements include proven experience in leading engineering teams that consistently deliver production software, competence in balancing people management with technical contributions, expertise in designing and building scalable APIs, hands-on experience in developing AI or ML features/projects, adeptness in planning and executing projects over different time horizons, exceptional organization and collaboration skills, proficiency in English communication, and deep knowledge of Ruby or Rust programming languages.
Desirable qualifications include experience in regulated or data-heavy environments, familiarity with event-driven architectures or messaging systems, prior experience mentoring other tech leads or engineering managers, exposure to distributed or offshore team environments, and a background in platform or integration-driven product development.
The chosen candidate will demonstrate leadership over two engineering teams of varying seniority levels, emphasizing ownership, collaboration, autonomy, and continuous improvement within the teams. Benefits of this role include comprehensive healthcare coverage, FSA options, a flexible PTO policy, pre-tax commuting benefits, and a home office stipend for ensuring comfortable remote work arrangements.
The interview process involves an initial discussion with the Tech Recruiter, followed by the client's recruitment process, ultimately leading to a formal job offer. Ubiminds may utilize AI tools to aid in specific hiring processes, such as application review or resume analysis, although final decisions are made by human evaluators. For inquiries concerning data processing, candidates are encouraged to reach out for further clarification.