Software Engineer (JAVA)

About Appen

Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.

At Appen, we value purpose where we unlock the power of AI for good to build a better world; perspective where we are a learn it all culture and embrace that comfort and growth do not coexist and prosperity where we are customer obsessed, action oriented, have courage to innovate and celebrate winning together.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Software Engineer (JAVA)

Overview

Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produces the best machine learning solutions. However, creating training data with high quality in a scalable way is very challenging and very few companies can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years and generates all kinds of training data like content relevance, image & video, text and audio, as well as data capturing.

Appen Tech team is solving the AI data problem by combining the power of human and technology. This world-class and exciting engineering position awaits qualified candidate. This team is responsible for build the most efficient annotation platform to help millions of workers globally to complete their job more efficiently thus generating high quality training data. The platform includes image annotation, video annotation, voice/video transcription, translation, text annotation, Lexington, data capture tools, and pre-annotation with machine learning. It is an exciting opportunity to make your own mark in the AI data industry!

You also get the opportunity to work with our global tech team from Silicon Valley and Sydney. It is a leading data company with a start-up culture. People in the team are friendly, highly motivated, and extremely bright. Our team tries to maintain a work climate of professionalism, innovation, career growth, and fun. And we only want people who wants to make a huge impact to the AI world instead of just a job!

Responsibilities

• Build the most efficient annotation platform to help millions of workers globally to complete their job more efficiently thus generating high quality training data.
• The platform includes image annotation, video annotation, voice/video transcription, translation, text annotation, Lexington, data capture tools, and pre-annotation with machine learning.
• Learn and understand AI data need in those fields and provide best platform to generate high quality data with least human effort.
• Drive innovation in modern-architected, large-scaled web systems with backended by big data application.
• Technical lead for new and existing product initiatives, assist with definition of product direction.
• Define, design, troubleshoot, and debug complex, multi-tier distributed software applications.
• Work with manager, engineers, product management and Operation team to design and implement application features.
• Estimate engineering effort, plan execution cycles, and rollout system changes

Requirements

• BS, MS, or PhD in Computer Science or related technical discipline (or equivalent).
• 3+ years’ work experience in software development area with Java ecosystem.
• Experience of modern-architected web / big data application is preferred.
• Excellent understanding of computer science fundamentals, data structures, and algorithms.
• Excellent problem-solving skills.
• Working Experience in Multi-national Company is a plus.
• Tech stacks: Java / SpringBoot / Kafka / Pulsar / MongoDB / PostgreSQL / Elasticsearch / Redis / Kubernetes / Spark.

 Generally Desirable Traits

• Go-getter – thinks creatively to work through, or importantly, around problems to deliver
• Growth mindset – always looking to learn / collaborate and grow with others, comfortable being open / transparent about what they do not know
• Results-oriented – values delivering capabilities over putting in the time
• Full stack mentality – may specialize in certain areas but willing to jump into any codebase or type of work if the team needs it (eg: testing, refining requirements)

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Onsite

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.