Requirements: English
Company: Apollo.io
Region: remote, poland ,
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. These products may include Search, Recommendations, Content Generation, Conversations or similar. The mission of the Intelligence team is to leverage Apollos massive scale data to understand and predict Apollo users behaviors and optimize their experience at all stages of their product journey.
This is how we organize our work
This is how we work
- you focus on product development
- agile
- kanban
What we offer
- Base salary + 10% yearly bonus + equity
- 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
- 1200 USD educational budget
- 300 USD Work From Home Stipend
- 4 additional PTO days for Engineering (Rest Days)
- 100% remote work and flexible working hours
OUR TECH STACK
- Ruby/RoR, Python, React.js, Typescript, Redux, MongoDB, Elasticsearch, Ansible, Terraform, Grafana, Kibana, Docker, Kubernetes, GCP.
What Youll Love About Apollo
Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees careers. The team embraces that we have a sole purpose: to help customers maximize their full revenue potential on the Apollo platform. This mindset opens us up to a lot of creative approaches to making customers successful at scale. 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. Youll be supported and encouraged to experiment and take educated risks that lead to big wins. And, youll have a whole team remotely by your side to help you do it!
- 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
- Strong analytical and problem-solving skills
- Proven software engineering skills in production environment, primarily using Python
- Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
- Proven experience leveraging AI tools to enhance software development processes, including code generation, debugging, and productivity optimization. Candidates should demonstrate fluency in integrating AI-driven solutions into their workflows and a willingness to stay current with emerging AI technologies
Optional
- PhD in Computer Science or related field with a focus on machine learning
- Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow
- Experience with one or more of the following: natural language processing, deep learning, recommendation systems, search relevance ranking, and speech-to-text conversion
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. These products may include Search, Recommendations, Content Generation, Conversations or similar. The mission of the Intelligence team is to leverage Apollos massive scale data to understand and predict Apollo users behaviors and optimize their experience at all stages of their product journey.
This is how we organize our work
This is how we work
- you focus on product development
- agile
- kanban
What we offer
- Base salary + 10% yearly bonus + equity
- 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
- 1200 USD educational budget
- 300 USD Work From Home Stipend
- 4 additional PTO days for Engineering (Rest Days)
- 100% remote work and flexible working hours
OUR TECH STACK