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🔥 AI Software Engineer

Posted about 2 hours 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 about 2 hours ago

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🔥 AI Engineer (Associate) - Remote

Posted about 12 hours ago

📍 United States, Canada

💸 100000.0 - 125000.0 USD per year

🏢 Company: huroncareers

🔧 Requirements

Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

💡 Responsibilities

Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities

AWS Backend Development Docker Python Software Development SQL Cloud Computing Data Analysis Flask Frontend Development Kubernetes Machine Learning PyTorch Algorithms API testing Azure Data engineering Data science FastAPI Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Adaptability Teamwork JSON Data modeling Data management Debugging

Posted about 12 hours ago

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🔥 Principal AI/SOTIF Safety Engineer Technical Lead

Posted about 15 hours 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 about 15 hours ago

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🔥 Director of AI

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 173200.0 - 277200.0 USD per year

🔍 AI

🏢 Company: cerence

🔧 Requirements

Extensive experience in AI research and development, with a strong focus on natural language processing, , deep learning, and computer vision.
Proven track record of leadership in driving AI initiatives, including strategy development, technology innovation, and team management.
Strong knowledge of programming languages commonly used in AI, such as Python, TensorFlow, PyTorch, or similar frameworks.

💡 Responsibilities

Develop and execute the AI strategy, defining the long-term vision and roadmap for AI technologies at Cerence AI.
Lead and inspire a team of AI researchers and engineers, fostering a culture of collaboration, excellence, and innovation.
Evangelize the company’s innovation in the evolving generative AI with customers.

Leadership Python Artificial Intelligence Machine Learning People Management PyTorch Algorithms Data science Tensorflow Communication Skills Team management Strategic thinking

Posted about 16 hours ago

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🔥 Sr Data Scientist

Posted 1 day 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 1 day ago

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🔥 (1070) Senior AI Python Engineer

Posted 2 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 2 days ago

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🔥 Principal Engineer - Behaviors

Posted 2 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 2 days ago

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🔥 Senior ML Researcher, Applied Machine Learning

Posted 3 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🏢 Company: Red Cell Partners👥 11-50 Financial Services Venture Capital Finance

🔧 Requirements

Expertise in ML Model Training and Optimization
Deep Knowledge of Language Model Fine-Tuning
Proficiency in ML Frameworks
Programming Skills
Research Communication Skills
Educational Background
Impactful ML Solution Delivery

💡 Responsibilities

Lead ML Research and Development
Architect Novel Training and Fine-Tuning Methodologies
Evaluate Model Performance and Innovation
Feedback System Design for Continuous Learning
Cross-Functional Collaboration
Stay Current on ML Advancements
Mentor and Guide Team Members

Python Data Analysis Git Machine Learning MLFlow Numpy PyTorch Algorithms Data Structures Tensorflow Communication Skills Analytical Skills CI/CD RESTful APIs Research Cross-functional collaboration

Posted 3 days ago

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🔥 Senior ML Engineer, Applied Machine Learning

Posted 3 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🏢 Company: Red Cell Partners👥 11-50 Financial Services Venture Capital Finance

🔧 Requirements

ML Systems Expertise: Proven experience in developing, optimizing, and deploying ML systems in production environments.
Model Training and Pipeline Mastery: Strong background in building and managing end-to-end training pipelines for ML models.
LLM Fine-Tuning: Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes.
Framework Proficiency: Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development.
Programming Skills: Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications.
Clear Communicator: Ability to distill complex ML concepts for both technical and non-technical audiences.
Educational Background: Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications.

💡 Responsibilities

Architect, Build, and Optimize ML Systems: Develop and deploy robust ML models that deliver high-impact results for real-world applications.
Training Pipeline Development: Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs.
Fine-Tuning Large Language Models (LLMs): Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance.
Feedback Systems Design: Implement and refine feedback loops to iteratively improve the effectiveness of ML models over time.
Cross-Functional Collaboration: Work closely with product and business teams to understand and translate requirements into ML solutions that provide tangible outcomes.
Stay Current with ML Advancements: Keep up with the latest in ML research and best practices, applying insights to our ML infrastructure to ensure it remains at the cutting edge.
Mentorship and Knowledge Sharing: Guide and mentor junior team members, fostering a culture of continuous improvement and technical growth.
Technical Communication: Clearly and effectively communicate ML methodologies, results, and insights to non-technical stakeholders.

Docker Python SQL Cloud Computing Data Analysis Git Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Communication Skills Analytical Skills Problem Solving RESTful APIs Cross-functional collaboration

Posted 3 days ago

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🔥 Senior Machine Learning Engineer II

Posted 3 days ago

📍 Vietnam

🔍 Software Development

🏢 Company: Axon👥 1001-5000💰 $246,000,000 Post-IPO Equity almost 7 years agoGovTech Electronics Hardware Software

🔧 Requirements

6+ years of software engineering experience and a proven track record of successfully deploying AI models on devices.
Experience with GPU/TPU development and debugging.
Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
Advanced knowledge and hands-on experience with Linux.
Excellent problem solving skills and ability to dive deep into system architecture.
Excellent software design skills.

💡 Responsibilities

Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow.
Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models.
Architect the next generation of the continuous deployment framework for AI on device.
Enable new AI feature on existing and new Axon’s devices by optimizing models for the edge.
Collaborate with scientists in architecting and implementing state-of-the-art training techniques.

Python Embedded Systems Machine Learning Numpy PyTorch C++Algorithms Data Structures Tensorflow CI/CD RESTful APIs Linux DevOps

Posted 3 days ago

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