Why join us
TRACTIAN is reimagining industrial systems so that every frontline maintenance worker can realize their full potential. We're building software and hardware in one place—disrupting long-standing institutions with products and experiences that better serve the ambitions of our clients.
Working at TRACTIAN allows you to push your limits, challenge the status quo and collaborate with some of the brightest minds in the industry. Our team members have the autonomy needed to accomplish challenging goals. We are a growth-stage startup and you will work directly with the founders, helping to define the vision, product and user experience. **
Data Science at TRACTIAN**
The Data team develops infrastructure, statistical models, and products using IoT data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Tractian’s decision-making process, in the efficiency of our operations and insights, and in the industry-leading experience we provide our consumers. **
What You'll Do**
As a Senior Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying cutting-edge machine learning models and systems. You will work closely with cross-functional teams to identify business needs, gather requirements, and translate them into scalable machine learning solutions. The ideal candidate will have a strong background in machine learning, deep learning, and software engineering, along with a passion for solving complex problems and driving innovation. **
Responsibilities**
Design and develop scalable machine learning models and algorithms.
Train and evaluate models using large datasets to achieve high performance.
Preprocess and engineer features from raw data to enhance model performance.
Deploy machine learning models into production environments and integrate them into existing systems.
Stay updated with the latest advancements in machine learning and conduct research to explore new techniques.
Collaborate with cross-functional teams and provide technical guidance and mentorship.
Optimize model performance and address performance bottlenecks in machine learning pipelines. **
Requirements**
Master's or Ph.D. degree in computer science, machine learning, or a related field.
5+ years of proven experience as a Machine Learning Engineer, with a focus on developing and deploying machine learning models.
Strong proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Expertise in deep learning architectures and techniques.
Proficient in programming languages such as Python, C++ or C.
Experience with data preprocessing, feature engineering, and data visualization.
Strong understanding of software engineering principles and best practices.
Excellent problem-solving skills and a passion for tackling complex challenges. **
Bonus Points**
Fluent English proficiency
Knowledge of cloud platforms and distributed computing framework **
Compensation**
Competitive salary and stock options
R$800/mo for you to use with food in supermarkets, restaurants and delivery
GymPass so you don't sit/work all day
Optional fully funded English / Spanish courses
30 days of paid annual leave
Education and courses stipend
Earn a trip anywhere in the world every 4 years
Day off during the week of your birthday
R$200 a month for remote work allowance
Mental health support: we cover 40% of the cost of your therapy
Health plan with national coverage and without coparticipation
Dental Insurance: we help you with dental treatment for a better quality of life.
Sports Incentive: R$300/mo extra if you practice activities
Up to R$5.000 bonus for referring new Blue Caps
