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🔥 Staff, Machine Learning Engineer

Posted about 14 hours ago

📍 Canada

🧭 Full-Time

💸 172800.0 - 216000.0 CAD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

5+ years of applied ML engineering experience
Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

💡 Responsibilities

Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.

AWS Python SQL Keras Machine Learning MySQL Numpy Airflow Data science Pandas

Posted about 14 hours ago

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🔥 AI Software Engineer

Posted 1 day ago

📍 US, Canada, & Latin America

🧭 Full-Time

💸 105000.0 - 140000.0 USD per year

🔍 Software Development

🏢 Company: Superhuman

🔧 Requirements

You have 3-6+ years of software engineering experience, with 2+ years of AI-focused work.
You’re an expert in backend technologies such as Go or Python.
You have expertise in AI technologies such as working with ML models, LLMs, NLPs, fine-tuning, etc.
You have a strong foundation in software engineering principles that prioritize high-quality, maintainable code that adheres to best practices.
You're able to identify problems, propose solutions, and make informed decisions to drive forward our AI efforts.
You're comfortable dealing with ambiguity and can think critically to make decisions that benefit the company and our users.
You have a deep understanding of hosted and open-source models and algorithms.
You can leverage, implement, and optimize these models to solve complex problems and deliver value to our users.

💡 Responsibilities

Successfully implement AI features that enhance user experience and drive user engagement
Ensure all AI code released is robust, scalable, and maintainable
Stay at the forefront of AI technology and research, integrating relevant findings and technologies into our systems
Foster cross-functional collaboration, ensuring AI solutions align with overall company goals
Uphold ethical AI practices, ensuring our AI initiatives are responsible and respectful of user privacy

Backend Development Python Artificial Intelligence Machine Learning MLFlow Numpy Algorithms Go Tensorflow Software Engineering

Posted 1 day ago

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🔥 Data Scientist - Online Behavioural Analytics & Generative AI

Posted 1 day ago

📍 Poland, Estonia, Bulgaria, Serbia, Romania

🔍 Software Development

🏢 Company: Teramind👥 51-100 Productivity Tools Security Cyber Security Enterprise Software Software

🔧 Requirements

5 + years of hands-on experience in Data Science experiments design and working with Generative AI tools and LLMs (e.g. Gemini, OpenAI, Claude, LLama).
Strong statistical analysis skills, including hypothesis testing, regression, clustering, and time-series analysis.
Proficiency in Python, including libraries for data analysis (e.g., Pandas, NumPy), machine learning (e.g., scikit-learn), and data visualization (e.g., Matplotlib, Tableau).
Proven experience in data science, with a focus on online behavioural analytics, user journey analysis, or clickstream data.
Familiarity with Advanced Prompting Strategies, agentic AI frameworks, techniques for retrieval-augmented generation (RAG) and context enrichment using behavioural data.
Experience with Knowledge Graphs, SQL and data extraction from large-scale databases or web logs.
Excellent problem-solving skills and the ability to translate complex data into clear, actionable insights.
Strong communication and collaboration skills for cross-functional teamwork and stakeholder engagement.
Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Mathematics, Behavioural Science, or a related field.

💡 Responsibilities

Work closely with AI Engineering and Product teams to collect, clean, and preprocess clickstream data from web and mobile applications, ensuring data quality and consistency.
Design and implement methods to extract behavioural signals from raw click data, including sessionization, event tracking, and feature engineering.
Apply advanced statistical analysis and machine learning techniques to identify user patterns, predict behaviours, and segment audiences.
Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and key behavioural drivers.
Design and evaluate experiments (such as A/B tests) to assess the impact of changes to user interfaces or features on user behaviour.
Collaborate with cross-functional teams (product, UX, marketing) to translate business questions into data-driven analyses and actionable recommendations.
Develop and maintain dashboards and visualizations to communicate findings to both technical and non-technical stakeholders.
Design, build, and evaluate AI workloads utilising Generative AI models using frameworks such as LangChain, Model Context Protocol, and Hugging Face Transformers, with a focus on integrating and augmenting these models with user behavioural data for enhanced context and personalization.
Implement and work with agentic AI frameworks to orchestrate multi-step reasoning and autonomous workflows powered by LLMs, leveraging user clickstream and behavioural data as contextual inputs.
Stay updated with the latest developments in behavioural data science, analytics tools, Generative AI, and agentic AI methodologies.

AWS Docker Python SQL Data Analysis GCP Kubernetes Machine Learning Numpy Tableau Behavioral science Data science Pandas Data visualization A/B testing

Posted 1 day ago

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🔥 Principal AI/SOTIF Safety Engineer Technical Lead

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 193600.0 - 296600.0 USD per year

🔍 Software Development

🏢 Company: careers_gm

🔧 Requirements

7+ years of experience in machine learning, engineering, data science, or a related field of expertise
ISO 8800, ISO 24118 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.
Setting the strategy for E2E validation using techniques appropriate to validate AI models
Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Microsoft Azure (Data Lake, Machine Learning, Databricks)
MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
Tableau, PowerBI, Pandas, NumPy
Proven track record providing technical safety leadership in AI/ML and AV development

💡 Responsibilities

Referencing ISO 8800, ISO 24118 and AV industry best practices, develop the strategy for ensuring safe AI/ML and autonomous system development, deployment and maintenance.
Work with software, data science and systems engineering teams to ensure GM safely trains new machine learning models to solve complex business problems.
Ensure continuity of safety as we enhance existing machine learning models to increase performance and adapt to our changing business landscape.
Set the safety standard for how we prototype, test and deploy new AI solutions, including Generative AI, to solve business problems.
Set the strategy for testing and validation of data sets and develop an assurance plan.
Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level.
Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets across vehicle behaviors and in aggregate
Setup an assurance process to validate launch targets have been achieved

Docker Leadership Python SQL Artificial Intelligence Cloud Computing Data Analysis Java Java EE Kubernetes Machine Learning Microsoft Azure MLFlow Numpy PyTorch Jira Tableau Algorithms Data science Pandas Tensorflow Communication Skills Analytical Skills Collaboration Agile methodologies RESTful APIs Organizational skills Written communication Problem-solving skills Teamwork Risk Management Data visualization Strategic thinking Data modeling Debugging

Posted 2 days ago

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🔥 Sr Data Scientist

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 211536.0 - 287100.0 USD per year

🔍 Software Development

🏢 Company: jobs

🔧 Requirements

SQL and Python programming to query and validate the accuracy of datasets
Design and develop workflow orchestration tools
Python scripting to develop statistical and machine learning models for classification
Use agile software development principle to design, plan and structure deployment of software products
Develop machine learning models to segment customer behavior, identify market concentration and volatility using Python and Spark ML
Building KPIs (Key Performance Indicators) and metrics, validating using statistical hypothesis testing
Expertise in Cloud Computing resources and maintaining data on cloud storage
Big Data processing for data cleaning
Deploy self-serving data visualization tools, automating, generating reports and consolidating visually on tableau dashboards
Develop data engineering pipelines and transformations

💡 Responsibilities

Lead, build and implement analytics functions for Honey features
Conduct impactful data analysis to improve customer experiences and inform product development
Collaborate cross-functional support teams to build world-class products and design hypothesis-driven experiments
Gather and collate business performance and metrics to recommend improvements, automation, and data science directives for overall business performance
Present findings and recommendations to senior level/non-technical stakeholders
Maintain large datasets by performing batch scheduling and pipelining ETL operations
Perform ad-hoc exploratory analysis on datasets to generate insights and automate production ready solutions
Develop machine learning-based models to improve forecasting and predictive analytics
Implement innovative quantitative analyses, test new data wrangling techniques, and experiment with new visualization tools to deliver scalable analytics
Develop and create programming paradigms and utilizing tools like git, data structures, OOP, and network algorithms

Python SQL Cloud Computing Data Analysis ETL Git Machine Learning Numpy Tableau Algorithms Data engineering Data Structures Pandas Spark Tensorflow Agile methodologies Data visualization Data modeling

Posted 2 days ago

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🔥 Data Science Intern

Posted 3 days ago

📍 U.S., Canada, Poland

🧭 Internship

💸 25.0 - 30.0 USD per hour

🔍 Software Development

🔧 Requirements

Working towards obtaining a Master’s degree in Data Science or a related field or equivalent practical experience.
Strong understanding of machine learning, artificial neural networks, and language models.
Proficiency in writing object-oriented code in Python.
Experience with PyTorch, SciPy, Jupyter Notebooks, and Hugging Face Transformers.
Comfort using the Unix command line.
Proven research skills and the ability to find reliable information and datasets.
Ability to think critically about the contexts in which companies produce and use data.
Excellent communication skills for technical concepts.

💡 Responsibilities

Researching new types of data to add to our classifier.
Finding and preparing training data.
Helping with data cleanup.
Tuning prompts for AI data generation.
Developing and analyzing benchmarks measuring accuracy, speed, and consistency of results.
Finding new evaluation datasets for the classifier, helping run experiments, and analyzing results.

Python Artificial Intelligence Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Communication Skills Analytical Skills Research skills

Posted 3 days ago

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🔥 (1070) Senior AI Python Engineer

Posted 3 days ago

📍 LATAM

🧭 Full-Time

🔍 Software Development

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

🔧 Requirements

5+ Years of experience working with the Python programming language, with the ability to work across AI, infrastructure, and tooling codebases.
3+ Years of experience working in cloud environments (AWS or GCP).
2+ Years of experience working with scripting languages (e.g., Bash, Go).
1+ Years of experience working with containerization (Docker) and orchestration (Kubernetes), and with CI/CD systems and infrastructure automation tools (e.g., Terraform, Ansible).
1+ Years of practical, hands-on experience with code-generation tools such as Codex, StarCoder, Claude, or GPT family.
Solid understanding of the full Software Development Lifecycle (planning, coding, testing, releasing, monitoring).
Practical, hands-on experience with large language models (LLMs).
Experience prototyping, benchmarking, and deploying AI solutions to improve developer workflows.
Strong understanding of software development automation and developer productivity enhancement techniques.
Familiarity with prompt engineering and retrieval-augmented generation (RAG) pipelines.
Ability to explain complex AI solutions and technical concepts to cross-functional and non-technical teams.
Research-driven mindset with curiosity for testing new AI ideas, tools, and approaches.
Strong problem-solving skills focused on identifying inefficiencies and applying AI to increase delivery velocity.
Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

💡 Responsibilities

Build AI-powered tools to enhance each stage of the SDLC: from code generation and code reviews to testing, documentation, and deployment.
Develop internal assistants and copilots to reduce cognitive load and empower developers to move faster with fewer manual steps.
Automate repetitive development and operational tasks (e.g., writing IaC, generating release notes, updating documentation).
Investigate GenAI solutions (e.g., GitHub Copilot, CodeLlama, GPT-Engineer) to improve CI/CD workflows and eliminate friction in delivery pipelines.
Design, benchmark, and deploy AI-driven solutions that reduce lead time, increase deployment frequency, and enhance reliability.
Explore custom model fine-tuning and retrieval-augmented generation (RAG) approaches when needed.
Prototype features like AI-driven deployment optimizations, cost-aware autoscaling, or predictive incident resolution.
Embed AI into DevOps processes to identify bottlenecks, automate root cause analysis, and surface continuous delivery insights.
Collaborate with SRE and developer experience teams to evolve our Internal Developer Platform (IDP) with intelligent automation.
Partner with engineering, DevOps, and product teams to identify key pain points and deliver impactful AI interventions.
Share findings through workshops, whitepapers, and internal demos to scale learnings across the organization.

AWS Backend Development Docker Python Software Development Artificial Intelligence Bash Cloud Computing Data Analysis Flask Frontend Development Full Stack Development GCP Kubernetes Machine Learning Numpy Algorithms API testing Data Structures FastAPI Go WebRTC Pandas Tensorflow CI/CD RESTful APIs DevOps Terraform JSON Ansible Software Engineering Debugging

Posted 3 days ago

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🔥 Principal Engineer - Behaviors

Posted 3 days ago

📍 United States

💸 136500.0 - 266500.0 USD per year

🔍 Software Development

🔧 Requirements

BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
In-depth understanding of common Machine Learning, Deep Learning algorithms, or ML Planning
Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Fluency in Python, including standard scientific computing libraries and Python bindings development experience
Experience with PyTorch or other deep learning frameworks
Experience working with large data sets and deriving insights from data
Effectiveness at leading and executing large, complex technical initiatives
Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

💡 Responsibilities

Define and influence the direction of the team, organization, and/or department.
Advise leaders on technology problems and solutions
Connect and drive business impact through technology solutions
Formulate problems, architect solutions, and design processes
Prototype, evaluate, implement, and iterate on solutions
Pioneer research into state of the art solutions and systems for autonomous vehicles
Productionize and deploy solutions onto autonomous vehicle fleets
Mentor and grow junior and experienced engineers and researchers
Help create and reinforce a culture of inclusion, innovation, and excellence

Python Software Development Data Analysis Data Mining Image Processing Machine Learning MLFlow Numpy OpenCV PyTorch C++Algorithms Tensorflow Software Engineering

Posted 3 days ago

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🔥 Full Stack Engineer_Python & Angular

Posted 4 days ago

📍 Bratislava, Kyiv

🔍 Software Development

🏢 Company: Altamira.ai

🔧 Requirements

Programming: Python, TypeScript
Backend: FastAPI, Pydantic, Pandas, PostgreSQL, Redis
Frontend: Angular (preferred), React, or Vue
Data Analysis: Pandas, NumPy, SciPy
Data Visualization: D3.js, Seaborn, Plotly, Matplotlib
Security: OWASP best practices
DevOps & Cloud:
Containerization: Docker, Kubernetes
CI/CD pipelines
Cloud platforms: DigitalOcean, AWS, or GCP
Other: Linux (all code runs in Linux-based environments)

💡 Responsibilities

Develop and maintain full-stack solutions with a focus on data analysis and visualization.
Design and implement interactive dashboards and data exploration tools.
Optimize data processing workflows for performance and scalability.
Ensure best practices in security, UX, and software development.
Collaborate with data scientists, product managers, and engineers to refine insights delivery.

AWS Backend Development Docker PostgreSQL Python Data Analysis Frontend Development Full Stack Development GCP Kubernetes Numpy TypeScript FastAPI Angular Redis Pandas React CI/CD Linux DevOps Data visualization