
Machine Learning Engineer
Wynd Labs
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $220,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis.
- Designing and implementing pipelines for processing and analyzing large datasets.
- Analyzing and interpreting complex time series data to provide actionable insights and solutions.
- Designing, implementing, and maintaining data-driven models and algorithms.
- Collaborating with cross-functional teams to understand data needs and deliver timely solutions.
- Ensuring data quality and integrity throughout all processes.
- Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data.
- Continuously researching and implementing best practices in data science and machine learning.
- Contributing to the development and improvement of internal data processing tools and infrastructure.
Requirements
- Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.
- A minimum of 3 years of work or research experience dealing with large datasets.
- Strong coding skills in Python or other object-oriented programming languages.
- Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability.
- Excellent work ethic and the ability to thrive in a fast-paced startup environment.
- Strong problem-solving skills and attention to detail.
- Good communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
- Experience working in a high output team.
Benefits
- Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
- Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
- Work Remotely
- Compensation. You’ll receive a competitive salary, benefits and equity package.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLMsNLPtext generationsummarizationtranslationsentiment analysisdata processing pipelinesdata-driven modelsPythonstatistics
Soft skills
problem-solvingattention to detailcommunicationcollaborationwork ethic