Requirements: English
Company: Apollo.io
Region: Gdansk , Pomeranian Voivodeship
We are a remote-first inclusive organization focused on operational excellence. Our way of working ensures clear expectations and an environment to do your best work with ample reward.
As a Senior Machine Learning Engineer on the Intelligence team, you will be responsible for building and productionizing Machine Learning (ML) models and other smart algorithms for various Apollo products. Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
Understand the Machine Learning stack at Apollo and continuously improve it
Build systems that help Apollo personalize their users experience
Evaluate the performance of machine learning systems against business objectives
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki
be able to break down ambiguous problems into simpler milestones and delegate to junior engineers
Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
~8+ years of experience building Machine Learning or AI systems
~ Experience deploying and managing machine learning models in the cloud
~ Experience working with fine tuning LLMs and prompt engineering
~ Proven software engineering skills in production environment, primarily using Python
~ Experience with Machine Learning software tools and libraries (e.g., PhD in Computer Science or related field with a focus on machine learning
Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow
Contract of employment (Polish UoP via Remote.com) + AKUP 50% tax deductible costs with 70% Creativity factor
~100% remote work (we dont have offices and we dont plan to have them) - no hybrid, no forcing People to get back to the offices
~ Global Allianz Insurance and Medical Package covered by Apollo
~300 USD Work From Home Stipend
~4 additional PTO days for Engineering (Rest Days)
~100% remote work and flexible working hours
private medical care
sharing the costs of professional training & courses
remote work opportunities
flexible working time
OUR TECH STACK
~ Ruby/RoR, Python, React.js, Typescript, Redux, MongoDB, Elasticsearch, Ansible, Terraform, Grafana, Kibana, Docker, Kubernetes, GCP.
Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees careers. Youll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator. Were very collaborative at Apollo, so youll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals. And, youll have a whole team remotely by your side to help you do it!
io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world''s largest enterprises. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform.