Apollo.io
Build and productionize Machine Learning models for Apollo products like Search and Recommendations. Leverage data to predict user behaviors and optimize their experience. Improve ML stack and maintain scalable data pipelines.
Lodgify
Join Lodgify as a C# Developer to build tools and improve infrastructure for a vacation rental platform. Utilize your skills in .NET Core and microservices architecture while enjoying remote flexibility and comprehensive benefits.
CaptivateIQ
Lead and mentor a team of Account Executives at CaptivateIQ, driving sales growth and optimizing processes with competitive benefits and a supportive environment.
Jane App
Senior Product Manager - Identity at Jane: lead product discovery, improve user connection, and drive growth in a remote-first company
Gitlab
Oversee Professional Services delivery in APJ, manage partner relationships, ensure project success, and maintain consistent delivery standards at GitLab. Enjoy remote work, flexible benefits, and growth opportunities.
Axios
Lead client partnerships at Axios, driving revenue growth through strategic relationships and innovative solutions in local advertising. Enjoy comprehensive benefits and a supportive work culture.
ABOUT YOU SE & Co. KG
Flutter Engineer for fast shopping app using Dart & Flutter
Mercury
Develop seamless experiences for customers submitting fraud and dispute claims while empowering internal teams with efficient tools at Mercury's Card Fraud and Disputes team. Collaborate cross-functionally to deliver impactful solutions using React, TypeScript, Redux, Haskell, Yesod, Persistent, and PostgreSQL.
Jane App
Marketing Operations Manager at Jane - leading marketing efforts to simplify healthcare practices
Twilio
Optimize Twilio's marketing operations by managing lead routing, integrating technologies, and improving funnel performance. Lead Factory ownership and cross-functional collaboration are key responsibilities.
Mercury
Senior Risk Strategist at Mercury: Develop risk management strategies using data analysis, lead cross-functional efforts, and ensure regulatory compliance.
Eventbrite, Inc.
Analyze data using SQL to provide insights for optimizing customer service strategies. Collaborate with leadership to improve processes and measure program impacts.
Mozilla
Join Mozilla as a Data Scientist to drive impactful decisions with data, leveraging your expertise in statistical methods and cross-functional collaboration to shape the future of digital advertising.
Senior Data Scientist role at Reddit, leveraging data to maximize advertiser value on our platform, with flexible remote work options and comprehensive benefits.
LearnLux
Senior Software Engineer at LearnLux: Build impactful features for financial wellbeing platform, shape product direction, and contribute to scalability & security.
LearnLux
Senior Software Engineer at LearnLux: Build impactful features for financial wellbeing platform, shape product direction, and contribute to scalability & security.
LearnLux
Senior Software Engineer at LearnLux: Build scalable, secure, high-performance platform for financial wellbeing
Masabi
Kotlin Backend Developer at Masabi: Build innovative fare collection platforms with diverse tech stack
Nethermind
Senior Recruiter for Web3 & AI talent acquisition at Nethermind
Nethermind
Senior Recruiter for Web3 & AI talent acquisition with expertise in blockchain, AI, and technical recruitment.
Apollo.io
At Apollo, we are a remote-first inclusive organization focused on operational excellence. As a Senior Machine Learning Engineer on the Intelligence team, you will build and productionize ML models for products like Search, Recommendations, Content generation, and Conversations. The mission is to leverage Apollo's data to predict user behaviors and optimize their experience. Responsibilities include designing scalable ML systems, improving the ML stack, personalizing user experiences, evaluating performance against business goals, maintaining data pipelines, implementing monitoring and self-healing features, writing tests, and contributing to engineering documentation. Required qualifications include a degree in Computer Science or related field with 6+ years of ML/AI experience, cloud deployment, fine-tuning LLMs, prompt engineering, software engineering skills in Python, and experience with ML libraries. Preferred qualifications include a PhD in machine learning and experience with NLP, deep learning, recommendation systems, search relevance, and speech-to-text conversion.
Working at Apollo:
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
Required Qualifications:
Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
6+ 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.)
Preferred Qualifications:
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.
