Machine Learning Engineer - Remote
Machine Learning Engineer - Remote
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1 Vacancy
Job Description
This is a remote position.
Wynd Labs is an earlystage startup that is on a mission to democratize the future of AI. Through our first product Grass we provide universal access to public web data and a system where ordinary people can participate in the process and share in the benefits.
This project is for those who lead with initiative seek to challenge themselves and thrive on curiosity.
We operate with a lean highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.
The Role.
We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small innovative team and lead efforts to advance our capabilities drive model development and support our vision for a future where Grass is transformative in the evolution of the internet.
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 objectoriented programming languages.
- Graduatelevel knowledge of statistics including but not limited to hypothesis testing regression analysis and probability.
- Excellent work ethic and the ability to thrive in a fastpaced startup environment.
- Strong problemsolving skills and attention to detail.
- Good communication skills with the ability to articulate complex data concepts to nontechnical stakeholders.
- Experience working in a high output team.
What Youll Be Doing.
- Developing finetuning 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 text datasets.
- Analyzing and interpreting complex time series data to provide actionable insights and solutions.
- Designing implementing and maintaining datadriven models and algorithms.
- Collaborating with crossfunctional 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.
Benefits
- Competitive salary
- Earlystage equity
- Flexible work environment
- Unlimited PTO
- Opportunities for career growth
Employment Type
Full Time
