AI Machine Learning R&D Engineer at Welocalize

Spain

Welocalize Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Localization, Translation, AIIndustries

Requirements

  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
  • Minimum 3+ years experience as a Machine Learning Engineer or similar

Responsibilities

  • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance
  • Take ownership of key projects from definition to deployment, 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
  • Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
  • Perform statistical analysis and fine-tuning using test results
  • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure
  • Use AWS technologies (including but not limited to Sagemaker, EC2, S3) to deploy and monitor production environments
  • Keep abreast of developments in the field, with a dedication to learning in the role
  • Document diligently and communicate thoughtfully about ML experimentation, design, and deployment
  • Project scope: Define and design solutions to machine learning problems. Integration with larger systems done with the guidance of more senior engineers

Skills

Machine Learning
AWS
Docker
MLflow
NLP
LLM
Fine-tuning
Machine Translation

Welocalize

Provides AI-driven content localization services

About Welocalize

Welocalize assists businesses in enhancing customer engagement by providing localized content that meets the cultural and linguistic needs of different regions. Their AI-enabled Service Delivery Platform, OPAL, streamlines the translation and approval processes, allowing companies to reduce costs and improve efficiency. Unlike competitors, Welocalize leverages AI and automation to deliver services more effectively, resulting in better business outcomes for clients. The company's goal is to empower businesses to connect with international customers through advanced localization solutions.

New York City, New YorkHeadquarters
1997Year Founded
$33.1MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Accident Insurance
Critical Illness Insurance
Hospital Indemnity Insurance
Telemedicine Benefit
Paid Sick Time
Paid Holidays
Employee Assistance Program
Mileage Reimbursement
Medical Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
Voluntary Life Insurance
401(k) Retirement Plan

Risks

Competition from AI-driven tools like DeepL and Google Translate threatens market share.
Rapid AI advancements may commoditize basic translation services, pressuring differentiation.
Economic uncertainties in key industries could reduce spending on localization services.

Differentiation

Welocalize's OPAL platform uses AI to streamline translation and content adaptation processes.
The company offers specialized linguistic validation services for clinical trials and healthcare.
Welocalize's TranslationRater™ plugin for ChatGPT enhances translation quality assessment capabilities.

Upsides

Growing demand for AI-driven localization boosts Welocalize's market opportunities.
Rising interest in multilingual e-learning aligns with Welocalize's expertise.
Healthcare sector's AI integration offers new service expansion opportunities for Welocalize.

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