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.
Your Role & Mission:
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 Apollo’s massive scale data to understand and predict Apollo users’ behaviors and optimize their experience at all stages of their product journey.
responsibilities :
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
Develop and maintain scalable data pipelines that power our algorithms
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki
Competencies:
Documentation first approach; loves to scale up by writing things down to share knowledge asynchronously
Excellent communication skills; be able to work with stakeholders to develop and define key business questions and build data sets that answer those questions.
Excellent ambiguity resolution skills; be able to break down ambiguous problems into simpler milestones and delegate to junior engineers
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open; loves learning
Critical thinking and proven problem-solving skills required
requirements-expected :
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.)
offered :
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 don’t have offices and we don’t 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
benefits :
private medical care
sharing the costs of professional training & courses
