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Senior Machine Learning Engineer
3 weeks ago
Job Description:
">We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our Intelligence team. The successful candidate will be responsible for building and productionizing Machine Learning (ML) models and other smart algorithms for various products, including Search, Recommendations, Content Generation, Conversations, and more.
">The mission of the Intelligence team is to leverage massive scale data to understand and predict user behaviors and optimize their experience at all stages of their product journey.
">In this role, you will design, build, evaluate, deploy, and iterate on scalable Machine Learning systems. You will also be responsible for understanding the Machine Learning stack at Apollo and continuously improving it.
">You will work on building systems that help personalize users' experiences, evaluating the performance of machine learning systems against business objectives, developing and maintaining scalable data pipelines, and implementing automated monitoring, alerting, self-healing features.
">Your responsibilities will include writing unit/integration tests and contributing to the engineering wiki. We value documentation and knowledge sharing, so excellent communication skills are essential in this role.
">Ambiguity resolution skills are also crucial, as you will need to break down complex problems into simpler milestones and delegate to junior engineers.
">This is an opportunity for a self-motivated, self-directed, and inquisitive individual who loves learning, critical thinking, and problem-solving. If you have experience with Python, scikit-learn, TensorFlow, Keras, PyTorch, Machine learning, Databricks, Google Cloud Platform, Snowflake, MLflow, Airflow, Natural language processing, Deep learning, and are genuinely curious about working in a flat structure with small teams on international projects, we encourage you to apply.
">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 personalize users' experiences">
- Evaluate the performance of machine learning systems against business objectives">
- Develop and maintain scalable data pipelines">
- Implement automated monitoring, alerting, self-healing features">
- Write unit/integration tests and contribute to the engineering wiki">
Requirements:
">- ">
- 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 environments, 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">
- PhD in Computer Science or related field with a focus on machine learning (optional)">
- Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow (optional)">
- Experience with one or more of the following: natural language processing, deep learning, recommendation systems, search relevance & ranking, and speech-to-text conversion (optional)">
Benefits:
">- ">
- Base salary + 10% yearly bonus + equity">
- Contract of employment via Remote.com + AKUP 50% tax deductible costs with 70% creativity factor">
- 100% remote work with flexible working hours">
- 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)">
Working Environment:
">We offer a collaborative, open-minded environment where creativity and innovation thrive. Our team values diversity, inclusivity, and equal opportunities for growth and professional development.
">We believe in empowering individuals to take ownership of their roles and make a meaningful impact on our company's success.
">If you share our vision, passion, and commitment to excellence, we invite you to apply for this exciting opportunity.
">