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.
Taskrabbit
Execute fraud prevention strategies, analyze data for trends, and maintain trust through proactive measures in Risk Operations at Taskrabbit.
Weights & Biases
Sr. Account Director at Weights & Biases: drive revenue growth through software sales, leverage channel partnerships, and develop value propositions for AI developer tools.
Red Canary
Join Red Canary as a Threat Hunter and help protect organizations from cyber threats. Use your expertise in security controls, EDR, and DFIR to partner with customers, manage incidents, and proactively hunt for threats while mentoring others on the team. Enjoy a flexible remote work option and comprehensive benefits.
Goodnotes
Join Goodnotes as a Senior Software Engineer to develop advanced rich text editors with multiplayer capabilities. Work on challenging projects, collaborate with a talented team, and enjoy remote or office-based work with excellent benefits including equity, health insurance, and professional development opportunities.
Vonage
Senior Technical Support Engineer for API/SDK Video Support at Vonage, providing first-class technical support to customers and collaborating with the team.
Binance
Senior Backend Engineer/Architect needed for C/C++ & Netty expertise, managing infrastructure development and ensuring high performance
Nearform
Senior Developer at NearForm: Deliver high-quality applications using JavaScript, React, Node.js, and Git, with a focus on collaboration, communication, and innovation.
The Motley Fool
Senior Software Developer at The Motley Fool: Develop web applications using React, Next.js, TypeScript, and more, collaborate with a high-performance team, and enjoy flexible remote work and generous perks.
Nearform
Senior Backend Developer for cloud-based applications using Python, React, Node.js & SQL
COMPLY
Lead the evolution of COMPLY's brand through design and storytelling. Manage creative assets, design systems, and collaborate across teams to enhance brand presence. Enjoy remote flexibility and comprehensive benefits.
StackAdapt
Data Scientist at StackAdapt: Develop advanced machine learning algorithms to enhance advertising effectiveness and ROI.
StackAdapt
Join StackAdapt's Data Science Team as a Remote First Data Scientist and contribute to the development of advanced machine learning algorithms and production-grade ML models.
Hostaway
Senior Data Engineer role at Hostaway, leading data engineering practice for analytics across the company, with experience in dbt, Airflow, Fivetran, Google Cloud data ecosystem, and BigQuery services.
ABOUT YOU SE & Co. KG
Senior Quality Assurance Engineer for Storefront API Team in Hamburg or remote EU
Superside
Lead engineering teams at Superside, driving technical roadmap, scaling enterprise solutions, and fostering high-performing culture.
Kraken
Design and develop seamless onboarding experiences for Kraken users, collaborating across engineering, product, and design to support global crypto adoption.
Kraken
Design and develop Kraken's mobile apps, optimize user onboarding, and lead front-end engineering efforts to drive growth and engagement.
Truelogic Software
Senior Front-end Engineer with React experience wanted for nearshore staff augmentation services in LATAM
Outliant
Lead media buying strategies, optimize digital campaigns, and collaborate with cross-functional teams at Outliant, a fully-remote company offering great benefits including unlimited PTO and mental health support.
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.
