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.
Anaplan
Senior HR Systems Analyst for Workday HCM at Anaplan, designing and implementing technical solutions to optimize system performance and enhance functionality.
Automattic
Senior Manager FP&A role in WooCommerce, developing financial models and providing insights to drive growth
Modern Health
Lead Modern Health's product marketing efforts to improve mental health outcomes by developing strategies, campaigns, and cross-functional collaborations that drive customer engagement and business growth. Utilize deep market understanding and storytelling abilities to position our solutions effectively in the market.
Alma
Lead product marketing strategies for Alma's platform, driving provider engagement and client matches through effective campaigns and cross-functional collaboration. Shape the future of mental healthcare with a focus on data-driven decisions and team leadership.
Twilio
Senior Product Marketing Manager at Twilio.org - drive social impact marketing efforts, create compelling content & value propositions, and represent Twilio.org globally.
Postscript
Senior Manager of Product Marketing for Core SMS Product and Platform
CXG
Senior Instructional Designer for CXG LEARN, creating immersive training content for luxury retail clients
Mozilla
Senior Account Executive at Mozilla Corporation - $171k-$247k/year
Cryptio
Join Cryptio as a salesperson and help institutional adoption in crypto with flexible remote work options and competitive benefits.
ClassDojo
Senior Account Executive at ClassDojo: drive sales growth in K-12 education space with expertise in district sales, product knowledge, and negotiation skills.
Cobalt
Senior Account Executive - Sell Pentesting & Offensive Security services to UK customers & prospects, develop upsell/cross-sell strategies, and drive sales growth.
Webflow
Join Webflow's Access Control team as a Staff Backend Engineer and design scalable backend services for RBAC with configurable permissions.
Vonage
Senior Full Stack Developer needed for Vonage Engineering Mission, working on full-stack projects using Vue.js, Node.js, AWS, and microservices-based applications.
Metalab
Full Stack engineer needed for projects at Metalab, collaborating on features and delivering high-quality code using Node.js, Python, and modern frameworks.
G-P
Lead the strategy and development of Gia's mobile app as Senior Product Manager - Mobile at G-P, focusing on HR AI solutions. Drive user engagement and cross-platform growth with cutting-edge technology.
Contentsquare
Senior Product Manager - Mobile at Contentsquare: drive mobile analytics experiences, innovate customer outcomes, and collaborate with design teams.
Binance
Crypto Policy Senior Associate/Manager at Binance: Analyze blockchain policy developments, develop insights & recommendations, draft white papers & position papers.
Eventbrite, Inc.
Enhance B2B communications at Eventbrite by developing and executing customer engagement strategies, optimizing campaigns, and collaborating with cross-functional teams to drive retention and acquisition.
Vonage
Alliance Marketing Manager at Vonage: Develop and execute marketing strategies for Alliances, ISVs, and SIs, creating value propositions and messaging, and driving business growth through events and campaigns.
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.
