AI Machine Learning Engineer
Welocalize
- Location
- Romania
- Posted
Develop machine learning solutions for localization and business workflow processes using Python and AWS services.
Remote Jobs
Staff Software Engineer - Business Experience
- Location
- United States of America
- Posted
- Salary Range
- 217k - 304k USD
Remote Staff Engineer position at Reddit Pro, leading product development with cross-functional teams, delivering high-quality products quickly.
Senior Software Engineer - Webflow Labs
Webflow
- Location
- United States of America
- Posted
Senior Software Engineer at Webflow Labs: Create prototypes, drive technical initiatives, and thrive in a remote-first environment with flexible work options and access to mental wellness programs.
Staff Site Reliability Engineer, DRE
Pismo
- Location
- Brazil
- Posted
Data Reliability specialist: Cloud infrastructure design & collaboration
Inference Systems Engineer
Reka
- Location
- United Kingdom
- Posted
Enhance Reka's inference infrastructure by developing scalable backend services using modern containerization and cloud technologies. Collaborate with a global team on innovative AI solutions while enjoying remote work flexibility and excellent benefits.
Software Engineer
Douro Labs
- Location
- Brazil
- Posted
- Salary Range
- 120k - 180k USD
Build DeFi infrastructure by developing smart contracts, SDKs, and tools. Collaborate globally, shape product direction, and thrive in a dynamic startup environment with remote flexibility.
Software Engineer
Figma
- Location
- United States of America
- Posted
- Salary Range
- 149k - 350k USD
Design and build scalable infrastructure for Figma's tools, secure networks, develop service meshes, and mitigate DDoS threats while working on cutting-edge technologies to support our growing customer base.
Software Engineer
The Athletic Media Company
- Location
- Canada
- Posted
- Salary Range
- 120k - 140k USD
Join The Athletic as a Full-Stack Engineer to build innovative solutions for sports media, focusing on growth features and scalable backend systems. Work remotely with a global team and enjoy competitive benefits.
Software Engineer
360Learning
- Location
- Spain
- Posted
Full-stack developer for LMS platform with flexible remote work options and comprehensive benefits package
Software Engineer
Planet
- Location
- Slovenia
- Posted
Join Planet as a Software Engineer and contribute to innovative systems that extract insights from satellite imagery for applications in agriculture, forestry, climate, land management, and more.
Software Engineer
Enode
- Location
- Croatia
- Posted
Join Enode as a Mid-Level Engineer and accelerate the transition to a sustainable energy system
Software Engineer
Adaptavist
- Location
- South Africa
- Posted
Join The Adaptavist Group as a Software Engineer to build and maintain cloud products using AWS, collaborate with teams, and deliver reliable solutions in the Atlassian ecosystem.
Software Engineer
Gauntlet
- Location
- United States of America
- Posted
- Salary Range
- 160k - 200k USD
Join Gauntlet as a Software Engineer to develop Aera's treasury management platform. Collaborate on cutting-edge DeFi solutions, leverage Python expertise, and enjoy comprehensive benefits including remote flexibility and wellness support.
Software Engineer
Figma
- Location
- United Kingdom
- Posted
Figma developer tools role: build Dev Mode, collaborate on new products, mentor peers & drive solutions with React, Typescript & Ruby/Sinatra.
Senior Engineer
Athennian
- Location
- Canada
- Posted
Senior Engineer at Athennian: Design scalable software solutions, mentor junior engineers, and drive technical excellence in a fast-paced startup environment.
BackEnd Engineer
Udacity
- Location
- United States of America
- Posted
- Salary Range
- 120k - 120k USD
Backend Software Engineer at Udacity: build scalable microservices with production quality, participate in design reviews, and manage cloud resources.
Staff Software Engineer - Data Platform
Level AI
- Location
- India
- Posted
Staff Software Engineer at Level AI: Design & develop scalable analytics platform
Implementation Engineer
Level AI
- Location
- United States of America
- Posted
Coordinate SaaS instance setups, manage technical configurations, and ensure successful customer onboarding at Level AI. Work with cross-functional teams to mitigate risks and deliver high-quality implementations.
Security Engineer
WorkOS
- Location
- United States of America
- Posted
- Salary Range
- 175k - 250k USD
Join WorkOS as a Security Engineer to enhance our security infrastructure, ensuring the safety of authentication and identity solutions for thousands of SaaS customers. Lead security projects, mentor teams, and implement best practices using tools like SCA, SAST, DAST, and CNAPP.
Security Engineer
Wealthfront
- Location
- United States of America
- Posted
- Salary Range
- 140k - 160k USD
Join Wealthfront's Security Engineering team as a security-minded engineer to build and mature security solutions in a fast-growing fintech organization.
AI Machine Learning Engineer
Welocalize
Job Summary
As a Machine Learning Engineer at Welocalize, you will design, develop, and implement machine learning solutions to serve the organization. Your responsibilities include working on machine learning model implementation, maintaining code quality, collaborating with cross-functional teams, and taking ownership of key projects from definition to delivery. You should have a solid understanding of machine learning concepts, proficiency in Python, and experience with natural language processing techniques and tools. Additionally, you will be expected to collaborate in an international environment and within a distributed team, applying analytical skills and business acumen to drive success. With 3+ years of experience as a Machine Learning Engineer or similar role, you will contribute to developing models that are accurate, efficient, and aligned with project requirements. You will also have the opportunity to work on various projects, including machine translation and quality assurance, and implement existing solutions using AWS services, Docker, MLFlow, and other technologies. Welocalize is a global transformation partner that accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. As part of our team, you will have flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. Apply now and help us shape the future of AI!
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
MAIN PURPOSE OF ROLE
The Machine Learning Engineer role is responsible for the design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and other. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.
MAIN DUTIES
- The following is a non-exhaustive list of responsibilities and areas of ownership of the Machine Learning Engineer:
- Machine learning model implementation: Work on the development and deployment of machine learning models for localization and business workflow processes, including machine translation and quality assurance. Implement existing solutions and ensure that models meet performance metrics.
- Maintain code quality: Write well-documented, efficient, and clean Python code following best practices and under the guidance of senior engineers.
- Collaborate on machine learning projects: Collaborate with cross-functional teams to implement solutions based on defined designs. Assist in understanding business requirements and contribute to discussions with technical teams. Support clear communication of technical progress to team members.
- Model Implementation and Development: Contribute to developing models that are accurate, efficient, and aligned with project requirements by implementing existing designs and methods.
- Team Collaboration: Work closely team members, actively participating in project discussions and contributing to successful outcomes through effective teamwork.
- Commitment to Learning: Show dedication to continuous learning, staying updated with new techniques, and applying them under guidance to improve models and processes.
- Clear Communication: Support clear communication within the team by sharing findings, challenges, and insights in a way that ensures understanding among peers and stakeholders
- Take ownership of key projects from definition to delivery, ensuring that they meet technical requirements and maintain momentum and direction until delivery
- Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
- Propose solutions and strategies to tackle business challenges
REQUIREMENTS
- Education
- Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Data Science or similar discipline (or equivalent experience)
- Technical Skills and Experience
- 3+ years experience as a Machine Learning Engineer or similar role
- Essentials
- Solid understanding of machine learning concepts: Knowledge of supervised and unsupervised learning, deep learning, and classification techniques. Eager to learn and build on foundational knowledge.
- Hands-on experience with natural language processing (NLP) techniques and tools.
- Proficiency in Python: Ability to write clean, well-structured code following best practices.
- Good communication and documentation skills: Ability to explain technical work clearly to peers and team members, with focus on communicating with non-technical stakeholders.
- Nice to have
- Experience using Large Language Models in production.
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a plus.
- Knowledge of ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc.
- Experience with data visualization tools like matplotlib, bokeh, d3.js
- Analytical mind and business acumen
- Ability to collaborate in an international environment and within a distributed team
