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
What We Are Looking For
- 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.
- Identify and address issues that may arise during development and deployment.
- Position is 100% remote.
Apply online here or send resume to johnnie@fullstacklabs.co with Job ID #00076452
What We Offer
- Competitive Salary.
- Paid Time Off (vacation, sick leave, parental leave, and 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 .