What is Ollang?

We are running towards a borderless world where language barriers do not exist. We not only know it, but we work for it.

In pursuit of a globalized world, as the first end-to-end human-powered AI Dubbing start-up, Ollang alone has transcreated over 2 million minutes worth of content into more than 60 different languages so far, generating 3.5+ billion views worldwide, and telling inspiring stories to audiences. 🌏

We work with the biggest names in online streaming services like Netflix and YouTube, the entertainment sector, including ATV and TRT World, and production companies such as Ay Yapim and W4tch.TV, content creators like Marina Mogilko, and e-learning platforms like ClassDojo. 🎥

We are rushing towards the Series A round with our elite panel of investors like JIMCO, DAI, Orkun Isitmak, Hande Enes, Merzigo-KEY, Osman Alp Arli, Koray Bahar, to name a few.

Our culture relies upon freedom, empowerment, innovation, imagination, creativity, and self-discipline.

And now, we are looking for a high-performing Machine Learning Engineer who would become a member of this founding team of soon-to-be unicorn Ollang.

Sounds like you? Read the description below carefully and apply now! 💁‍♀️

What will you work on?

As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms to solve complex problems and improve our products and services. You will collaborate closely with cross-functional teams, employing your expertise in Python and various machine-learning frameworks to create models that drive business growth. In addition, you will be involved in data processing, feature engineering, and data visualization, while ensuring seamless deployment, scaling, and monitoring of ML models. Your strong problem-solving, communication, and collaboration skills will be essential as you contribute to the ongoing innovation and growth of our company in a dynamic and fast-paced environment.

What do we look for?

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in machine learning, artificial intelligence, or related fields
• Proficiency in Python and at least one machine learning framework (TensorFlow, PyTorch, Keras, etc.)
• Experience with NLP, computer vision, or speech processing is a plus
• Familiarity with ML model deployment, scaling, and monitoring
• Ability to design and implement machine learning algorithms, evaluate their performance, and optimize as needed
• Experience with data processing, feature engineering, and data visualization techniques
• Understanding of the ethical implications of AI and machine learning, including fairness, accountability, and transparency
• Experience with reinforcement learning, unsupervised learning, or deep learning techniques and their applications in real-world scenarios
• Strong problem-solving, communication, and collaboration skills
• Eagerness to learn, innovate, and grow in a fast-paced environment

Perks for you!

Flat organization structure with a crackhead culture. 👻

Merit-based fast-growth environment. 🦸‍♀️

Meal Allowance. 🍔

Opportunity to work with clients and teammates from all around the world. 🧑🏻‍🤝‍🧑🏿

A team that works hard and parties harder. 🕺

Stock Option Program. 📜

20 paid vacation days. 🌴

A 13th salary following one year of service with the company. 💶

A wide range of online training courses. 📚

Summer and Winter Company Retreats 🚢

Rich referral program 👯

Brand-new technical setup 🖥️

An in-office ever-overflowing snack corner 🌯

Opportunity to work from different Ollang offices including Istanbul, Seoul, Dubai, and Paris offices. 🏢

Are you curious about what goes on behind the scenes in the making of a unicorn? Come become a unicorn-maker with us. Get ready for the world of Ollang.

But before that, let’s put you through a small translation test. What are we trying to tell you here?

Katıl nosotras se toi ont terbaik witze.

[Hint: We are multilingual. We can speak multiple languages in a sentence. We’re a showoff. 😉]