Machine Learning Engineer

fullstack • United State
Remote
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AI Summary

Join our team as a Machine Learning Engineer to design and implement machine learning algorithms, work with clients, and contribute to the development of custom software solutions.

Key Highlights
Design and implement machine learning algorithms
Work with clients and contribute to software development
Collaborate with a team of talented software professionals
Key Responsibilities
Design and implement machine learning algorithms
Use programming languages such as Python, R, and Java
Proficiency with machine learning frameworks such as TensorFlow and PyTorch
Technical Skills Required
Python R Java TensorFlow PyTorch Pandas NumPy Matplotlib
Benefits & Perks
Competitive Salary
Paid Time Off
100% remote work
Health, dental, and vision insurance
401(k) w/ 4% match

Job Description


About FullStack

FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

We’re Most Proud Of

  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world’s greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position

We're Looking To Hire a Machine Learning Engineer To Join Our Team. You'll Work With Our Incredible Clients In One Of Two Ways

  • Team Augmentation: You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We're Looking For

  • 5+ years of professional Full Stack Development experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Designing and implementing machine learning algorithms.
  • Use of programming languages such as Python, R, and Java.
  • Proficiency with machine learning frameworks such as TensorFlow and PyTorch.
  • Data analysis using visualization tools like Pandas, NumPy or Matplotlib.
  • Analyze and interpret patterns and trends.
  • Implement and optimize models in production environments.
  • Develop and maintain documentation on machine learning models and processes.
  • Ability to write clean, maintainable, and well-documented code.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer

  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Learn more about our Applicants Privacy Notice.

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