Vagas remotas de engenheiro ML/ algoritmo de dados

Before you read on, take a look around you. Everything you see has been shipped, often multiple times, before reaching its destination. Global e-commerce sales are expected to total $5.5 trillion worldwide in 2022 and continue growing over the next few years. Here at Shippo, we are the shipping layer of the internet, and we consider ourselves to be one of the core building blocks of e-commerce.

Our mission is to make merchants successful through world class shipping. With our products and solutions, we level the playing field by providing our customers with best-in-class solutions that otherwise wouldn’t be available to them. Through our e-commerce businesses, marketplaces, and platforms are able to connect to shipping carriers around the world from one API and dashboard. We provide our customers with the most competitive shipping rates, print labels, automated international documents, shipment tracking, facilitate the returns process and more.

About the Role

We are looking for a Senior Backend Engineer to join our Carriers Capabilities Team! Businesses, partners, customers, and users worldwide rely on our integration to a global network of carriers to streamline their fulfillment workflow. You can look forward to expanding our Shipping Carrier Library for both domestic and international shipments. The Carrier Capabilities Team is responsible for developing new integrations with carriers, maintaining them, building infrastructure and maintaining current services. As a Senior Engineer, you will provide experience and oversight in technical definitions, and coding for your team.

Job Responsibilities:

• Design, implement, test, and deploy software services with high SLAs that can handle millions of requests a day
• Ensure scalability and maintainability through microservices adoption, decoupling of concerns from the data model, queuing of jobs, application layering and container-based software distribution.
• Continue to build out and enhance our CI/CD pipeline for smooth and safe production releases via automated testing and verification.
• Verify and ensure performance and correctness of systems in response time and throughput.
• Architect systems and refactor existing systems for optimal performance and reuse
• Participate in peer reviews, testing and in design reviews for new features, products, and systems
• Collaborate with business teams and provide early input to new product ideas and functionality
• Define, implement, and monitor operational metrics to ensure performance and quality.
• Work with a sense of urgency and iterate quickly in an agile process.
• Mentor more junior engineers on engineering best practices.
• Exceptional problem solving skills: demonstrated ability to understand business challenges and translate those into technical solutions.
• Being on team on-call rotation and able to respond quickly to system incidents

Job Requirements:

• 7+ years of experience in software development
• Coding experience in server-side programming languages (e.g. Python, Go, Java, Ruby) as well as database languages (SQL) in production at scale
• Experience consuming APIs (client) and processing millions of integrations per second
• Experience working with server-side frameworks (e.g. Django, FastAPI, .NET, Spring, Rails, Phoenix)
• Strong interpersonal skills and the ability to work with all levels of the organization.
• Past experience and success building and supporting scalable APIs, services, or applications
• Solid understanding of object-oriented programming and familiarity with various design and architectural patterns.
• Exceptional verbal, written, and interpersonal communication skills. You are adept at communicating relevant information clearly and concisely.
• Deep understanding of customer needs and passion for customer success.
• Ability to look ahead to identify opportunities, foster a culture of innovation, and build for scale.
• Exhibit core behaviors focused on craftsmanship, continuous improvement, and team success
• BS or MS degree in Computer Science or equivalent experience

Bonus

• Experience with Integration Patterns Concepts like messaging, routing, translator.
• Experience working with Enterprise Integration Frameworks (e.g. Apache Camel, Spring Integration) or Data Integration Framework (e.g. Prefect, Sprint Data Streams)
• Experience with workflow orchestration tools (e.g. Temporal, Kestra, Prefect)
• Experience using Python and/or Golang in production at scale
• Interest and experience in performance tuning, concurrency, security, data pipelines, and web servers
• Familiarity with microservices architectures
• Experience integrating with APIs that use REST, SOAP, gRPC and other technologies
• Experience with Django and/or FastAPI
• Prior experience working or interacting with shipping and/or postal carriers
• Experience with messaging systems such as NSQ, Kafka, SQS and Celery
• Experience with DevOps tooling such as Docker, Terraform, Kubernetes, CircleCI, GitHub Actions, ArgoCD, New Relic, PagerDuty, etc
• Experience with AWS/Cloud services such as EC2, S3, DynamoDB, Lambda, Route 53, Cloud Formation, Cloudflare, Elastic Beanstalk, IAM, etc.

Offer Details

• Full-time Contractor (No benefits)
• Remote only, full-time dedication (40 hours/week)
• Required 5 hours overlap with EST (Eastern Standard Time)
• Competitive compensation package.
• Opportunities for professional growth and career development.
• Dynamic and inclusive work environment focused on innovation and teamwork

About Us

Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.

Role Overview — What Does a Typical Day Look Like?

You’ll work alongside top AI researchers and domain experts shaping foundational LLMs at leading AI labs to:

• Design and solve high-quality engineering problems that push the limits of model reasoning—spanning undergraduate through PhD-level topics.
• Analyze and evaluate model-generated solutions using a structured evaluation and ranking framework.
• Identify conceptual gaps, edge cases, and model blind spots—helping define new benchmarks for engineering reasoning.
• Contribute insights that shape model fine-tuning and frontier AI research

Required Skills & Experience

• Strong academic background in Engineering disciplines (Computer Science, Electrical, Mechanical, Chemical, Civil, Biotechnology, Robotics, or related fields)
• Open to talent at all education levels — UG, Master’s, and PhD
• Deep problem-solving skills and a structured, analytical mindset.
• Strong communication skills to collaborate with technical researchers.
• Interest in LLMs and how they work is a plus!

Engagement Details

• Commitment: Work as an expert gig worker with flexible engagement; minimum 10 hrs/week and up to 40 hrs/week (partial PST overlap required)
• Duration: 1 month with potential extensions based on performance and fit