Tech Lead Machine Learning Engineering

São Paulo, Brazil - Remote
UTC -03:00
More details
Permanent
Data Scientist
At least 6 years of experience - Senior
Requires work permit

**Language(s)**: Required English
SKILLS

**Must have**:
Deep Learning
Software Engineering
Machine Learning

**Other Required**:
Python
Scala
Java
Apache Spark
TensorFlow
Big Data
DESCRIPTION

GET TO KNOW US

Gympass is a corporate wellness platform that connects you to thousands of fitness & wellness partners, all with one simple monthly membership. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 offices around the world. At Gympass, you not only have the opportunity to build a career in a fast-paced global environment - but you'll make wellbeing universal, so everyone can be happy and healthy.

THE OPPORTUNITY

We are looking for a talented Tech Lead to join our Data Platform team in Brazil

The Data Platform team is responsible for providing a scalable and reliable data infrastructure, delivering consistent and trustful data, while creating self-service data products that abstract complexity away from other teams and enabling them to focus on their development, derive the necessary analytics and make data-driven decisions.

Our infrastructure is completely in the cloud, running Kubernetes, Presto, Spark, Kafka, Airflow, Flink and more cutting edge projects. We use software engineering principles to solve large scale production challenges, while building and maintaining a machine learning platform which aims at helping everyone at Gympass to make data-informed decisions.

YOUR IMPACT

**As a Tech Lead, you’ll be able to**:
Build production systems that personalize our user’s experience on the platform;
Help drive optimization, testing, and tooling to improve quality;
Prototype new approaches and productionize solutions at scale;
Perform data analysis to establish baselines and inform product decisions;
Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features.

**REQUIREMENTS**:
WHO YOU ARE

You hold a Bachelor’s Degree in Computer Science or related field and/ or equivalent experience;
You have consolidated software engineering experience with a successful track record of delivering quality results;
You have strong software design and development skills (e.g. in Scala, Python, Java, or C++);
You have experience with large-scale data frameworks, such as Spark or Scalding;
You have experience with parallel and distributed computing;
You are experienced in applied machine learning and have hands-on experience implementing, or prototyping, machine learning systems at scale in Java, Scala, Python or similar languages;
You care about agile software processes, data-driven development, reliability, and disciplined experimentation;
You have experience and passion for fostering collaborative teams.

**The following will be considered a plus**:
Knowledge of machine learning algorithms;
Strong background in math, statistics, or numerical computation;
Experience with deep learning frameworks, such as TensorFlow, PyTorch, among others;
Significant contributions to open source projects;
Experience working with public clouds, especially AWS.

PERKS
WHAT WE OFFER YOU
We're a wellness company that is committed to the health and well-being of our employees. Our flexible program allows you to customize your benefits, according to your needs Our benefits include:
**WELLNESS**: Health, dental, and life insurance.

**FLEXIBLE WORK**: Choose when and where you work. For most, this will be a hybrid office/remote structure but can vary depending on the needs of the role and employee preferences. We offer all employees a home office stipend and a monthly flexible work allowance to help cover the costs of working from home.

**FLEXIBLE SCHEDULE**: We give our employees some flexibility to adjust their working hours, letting them adjust their starting time within a range of 3 hours.

**GYMPASS**: We believe in our mission and encourage our employees and their families to find their passion too. Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.

**PAID TIME OFF**: We know how important it is that our employees take time away from work to recharge.

BR: Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday.

**PAID PARENTAL LEAVE**: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family.

BR: 100% paid parental leave of 6 weeks to all new parents, of both biological and adopted children, regardless of gender and parent's relationship with the co-parent, Also extended matern