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Senior Machine Learning Engineer

Местоположение и тип занятости

Полный рабочий деньМожно удаленно

Компания

Мониторинг приложений в App Store, Google Play и не только

Описание вакансии

Условия работы

AppFollow is an App review management and App Store Optimization (ASO) platform.
Our primary goal is to simplify the everyday routines of app developers, product managers, marketing teams, customer support, etc. AppFollow helps you gather and manage your apps and games data, increase app average rating, improve app store rankings, and app user loyalty.
We are constantly improving our Semantic Analysis toolkit and looking for a Senior Machine Learning Engineer to helpdrive the direction and development of proactive content moderation at scale. As a part of our team, you will work closely with the CTO, Product and  ETL teams.
You will partner product and engineering teams to build, deploy and maintain in production ML models which will impact the experience of more than 100 000 of users globally. More about Semantic Analysis toolkit: https://support.appfollow.io/hc/en-us/articles/360020979818-Semantic-Analysishttps://appfollow.io/blog/semantic-analysis-how-to-understand-user-reviews-at-scale-and-drive-customer-satisfactionhttps://support.appfollow.io/hc/en-us/articles/4408119766289-Phrase-Analysis

Current stack: Python,SQL, Big Data, AWS Sagemaker, Airflow, Docker, Kubernetes.
Why should you join us? 
- You will work with our Big Data sets (over TB)

- Participate in strategy for current ML infrastructure

- Bring crazy ideas for discussion, which help us improve our systemUse AWS stack for building cost efficiency products

- You can work from any part of the world

What will you do?
- Own the machine learning engineering strategy for across product- Design, build, train, evaluate and test current ML models (Attention and Transformer architecture, BERT based) focusing on reviews- Organize the best infrastructure for ML. 

- Deal with 100m+ reviews

- Participate in company-wide projects with CTO, Product and  ETL teams
-Support current products and building new: 

- Semantic and phrase analysis, language detection

- Tune custom semantic tagsImprove models by customers feedback- Cost optimizationGenerate replies to reviews (*new)

- Peak detections (*new)

- Contribute to ML infrastructure (internal frameworks, logging and data organization, etc.)

What skills are expected:
- Have +3 years of experience as a full-stack Machine Learning Engineer 

- Have deep understanding on Python and SQL 

- Have experience in NumPy, Pandas, PyTorch and and SKLearn 

- Have understanding of NLP architecture of transformers 

- Solid understanding of Multi Lang Have fluent English

Icing on the cake:  
- Knowledge of either AWS or any cloud

- Familiarity Airflow, ABSA, experience in Data Labeling, Docker, CI/CD

Бонусы


- Full-time remote job. Though you’re always welcome to spend time with us in our office in Helsinki.- 25 days of paid vacation. Take the time you need to stay motivated, charged, and balanced. By prior agreement, you can have days off for special occasions.- Generous social benefits package including health insurance, home office moderation bonus, and many more.- Stock options bonus according to the employee stock ownership plan.- Paid Corporate Meet-ups. We get together with the whole company twice a year at various locations to work and spend time together offline. Also, we have offline team meetings at least twice a year. We bear all the travel costs for your accommodation, flights, lodging, and other business travel expenses.- You’ll have executive-level visibility into how the company is run and performing. We are always ready to provide dedicated support and fast-track your onboarding, including giving you the tools you need to be successful.- The biggest benefit is our awesome AppFollow team.- We're a team of open-minded and friendly highly-skilled professionals that enjoy creating a great product, growing together, and supporting each other.

Дополнительные инструкции

AppFollow is an App review management and App Store Optimization (ASO) platform.
AppFollow focuses on representation, fairness, and equal opportunities for all genders, gender identities, ethnicities, nationalities, sexual orientations, religions, disabilities, and ages. We aim to establish and maintain a welcoming and supportive workplace that offers equal growth and development opportunities for all team members across the company. AppFollow is a multicultural company with people from around the globe with different cultures and backgrounds. We expect every team member to be understanding of our differences, respectful, friendly and open. Integrity is essential to creating a welcoming workplace for all, protecting our reputation for each other and for the future of the company. We expect every single team member to commit to the AppFollow culture. We believe in respect, taking care of one another, trust, collaboration, and kindness.

AppFollow core values: 
Our Team is Our Power We value and respect our teammates. We put all our efforts into creating a supportive space.

In Transparency We Trust We talk openly about our concerns. We give coaching, constructive and honest feedback. We invite and value opinions from everyone.

We get Things Done We embrace challenges and we evolve quickly. We are free to decide the best way to approach work. We are accountable for the outcome of our work.

We Keep Growing and Stay Curious We are curious. We celebrate successes and learn from failures. We share our knowledge