Remote Data Science Jobs

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🔥 Lead Backend & MLOps Engineer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Buzz Solutions

🔧 Requirements

8+ years of industry experience with modern systems development, ideally end to end pipelines and applications development
Track record of shipping complex backend features end-to-end
Ability to translate customer requirements into technical solutions
Strong programming and computer science fundamentals and quality standards
Experience with Python and modern web frameworks (FastAPI) and Pydantic
Experience designing, implementing, and debugging web technologies and server architecture
Experience with modern python packaging and distribution (uv, poetry)
Deep understanding of distributed systems and scalable architecture
Experience building reusable, modular systems that enable rapid development and easy modification
Strong experience with data storage systems (PostgreSQL, Redis, BigQuery, MongoDB)
Expertise with queuing/streaming systems (RabbitMQ, Kafka, SQS)
Expertise with workflow orchestration frameworks (Celery, Temporal, Airflow) and DAG-based processing
Proficiency in utilizing and maintaining cloud infrastructure services (Google Cloud/AWS/Azure)
Experience with Kubernetes for container orchestration and deployment
Solid grasp of system design patterns and tradeoffs
Experience and in-depth understanding of AI/ML systems integration
Deep understanding of the ML Lifecyle
Experience with big data technologies and data pipeline development
Experience containerizing and deploying ML applications (Docker) for training and inference workloads
Experience with real-time streaming and batch processing systems for ML model workflows
Experience with vector databases and search systems for similarity search and embeddings

💡 Responsibilities

Partner closely with engineering (software, data, and machine learning), product, and design leadership to define product-led growth strategy with an ownership-driven approach
Establish best practices, frameworks, and repeatable processes to measure the impact of every feature shipped, taking initiative to identify and solve problems proactively
Make effective tradeoffs considering business priorities, user experience, and sustainable technical foundation with a startup mindset focused on rapid iteration and results
Develop and lead team execution against both short-term and long-term roadmaps, demonstrating self-starter qualities and end-to-end accountability
Mentor and grow team members to be successful contributors while fostering an ownership culture and entrepreneurial thinking
Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance
Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture
Implement comprehensive MLOps workflows including model registry, deployment pipelines, monitoring systems for model drift, and CI/CD automation for ML-based backend services
Establish robust testing, monitoring, and security frameworks including unit/stress testing, vulnerability assessments, and customer usage analytics
Drive technical excellence through documentation, code reviews, standardized practices, and strategic technology stack recommendations

AWS Backend Development Docker PostgreSQL Python SQL Cloud Computing GCP Kafka Kubernetes Machine Learning MLFlow MongoDB Rabbitmq Airflow FastAPI Redis Nosql CI/CD RESTful APIs Microservices

Posted about 7 hours ago

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🔥 AI Software Engineer

Posted about 15 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 15 hours ago

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🔥 Principal AI/SOTIF Safety Engineer Technical Lead

Posted 1 day 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 1 day ago

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🔥 Staff Technical Enablement Specialist

Posted 2 days ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

Project Management Cloud Computing MLFlow Content creation Communication Skills Collaboration Problem Solving Presentation skills Written communication Training Stakeholder management Technical support

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 Researcher, Applied Machine Learning

Posted 3 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🔧 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

AWS Python Machine Learning MLFlow NLTK Numpy PyTorch Algorithms API testing Data science Data Structures REST API Tensorflow CI/CD RESTful APIs Research

Posted 3 days ago

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🔥 Senior ML Engineer, Applied Machine Learning

Posted 3 days ago

📍 USA

🧭 Full-Time

💸 175000.0 - 225000.0 USD per year

🔧 Requirements

Proven experience in developing, optimizing, and deploying ML systems in production environments.
Strong background in building and managing end-to-end training pipelines for ML models.
Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes.
Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development.
Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications.
Ability to distill complex ML concepts for both technical and non-technical audiences.
Bachelor's or Master's degree in Machine Learning, Computer Science, Data Engineering, or a related field.
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.

AWS Backend Development Python Software Development Cloud Computing Data Analysis Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Data engineering Data Structures Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Mentorship

Posted 3 days ago

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🔥 (1077) Senior AI Engineer

Posted 4 days ago

📍 LATAM

🧭 Full-Time

🔍 Software Development

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

🔧 Requirements

Bachelor's Degree in Computer Science, Engineering, or a related field.
5+ Years of experience working with Python programming language.
3+ Years of experience working in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
3+ Years of experience working with cloud platforms (AWS, GCP or Azure) on ML / AI solutions (using AWS Bedrock, Azure Machine Learning, Azure Open AI, Azure AI Foundry or Google Vertex).
2+ Years of experience working in feature engineering and model evaluation techniques.
1+ Years of experience working in LLM frameworks (such as Langchain, LlamaIndex).
Familiarity with LLMs, Generative AI concepts, particularly, knowledge in Architecture for LLM Applications and Prompt Engineering techniques/patterns.
Demonstrated work experience and practical implementation of RAG techniques.
Demonstrated work experience using vector databases.
Ability to architect and integrate AI solutions across platforms.
Excellent communication skills for both technical and non-technical audiences.
Experience deploying ML models in production environments.
Solid understanding of MLOps tools (MLflow, Kubeflow, etc.).
Knowledge in software architecture and scalable system design.
Strong analytical skills for complex problem-solving.

💡 Responsibilities

Design, develop, and implement scalable AI models and systems.
Create prototypes and define technical roadmaps for AI initiatives.
Collaborate with cross-functional teams (Data Scientists, Designers, Product Managers) to understand business needs and deliver impactful solutions.
Stay updated with the latest trends in AI, especially around LLMs and Generative AI.
Integrate AI solutions seamlessly with existing software architectures and workflows.
Communicate technical ideas and architectures clearly to both technical and non-technical stakeholders.

AWS Python SQL Artificial Intelligence GCP Kubeflow Machine Learning MLFlow PyTorch Software Architecture Algorithms Azure Data Structures Tensorflow RESTful APIs

Posted 4 days ago

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🔥 Lead/Staff Machine Learning Scientist

Posted 7 days ago

📍 United States

💸 184300.0 - 230450.0 USD per year

🔍 Oncology

🏢 Company: Natera👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff about 2 years agoWomen's Biotechnology Medical Genetics Health Diagnostics

🔧 Requirements

PhD in Bioinformatics, Computer Science, Statistics, or related field with a strong emphasis on cancer epi/genomics with 6-10 years of experience post-PhD.
Deep understanding of core ML models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks and contrastive learning
Hands-on experience developing and applying deep learning models, large language models (LLMs), and multimodal foundation models
Proficient in Python and its scientific computing stack (e.g., NumPy, Pandas, Scikit-learn)
Experience with ML frameworks such as PyTorch, TensorFlow, or JAX; familiarity with LLM-specific tools like LangChain; and model deployment via platforms like HuggingFace
Strong cross-functional communication skills, with the ability to work collaboratively across disciplines
High scientific rigor and a growth mindset; eager to both teach and learn new computational and biological concepts

💡 Responsibilities

Design, implement, and validate innovative algorithms and statistical methods to analyze large-scale data sets related to cancer detection
Foster a culture of innovation, collaboration, and scientific excellence
Work closely with molecular biologists and clinical scientists to solve challenging problems
Contribute to experimental design and ensure data integrity and quality control

Python SQL Data Analysis Git Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Pandas Tensorflow Communication Skills Analytical Skills Collaboration RESTful APIs Data visualization Data modeling

Posted 7 days ago

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