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🔥 Senior Software Engineer, AI

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

5+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Ability to collaborate on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization

💡 Responsibilities

Be an essential technical contributor at a Series B company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWS Backend Development GraphQL PostgreSQL Python SQL Artificial Intelligence Cloud Computing Data Analysis Data Mining Full Stack Development Git Keras Machine Learning Numpy PyTorch React.js Software Architecture TypeScript Data engineering REST API Pandas React Tensorflow CI/CD DevOps NodeJS Software Engineering

Posted about 5 hours ago

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🔥 Machine Learning Engineer (LLMs)

Posted about 5 hours ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 Company: Brainly

🔧 Requirements

3+ years experience with deployment and maintenance of Machine Learning models in production
Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
PyData stack along with quick frontend frameworks e.g. streamlit.
Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
Proven track record of development of data and machine learning pipelines.
Knowledge of Linux/Unix system, shell scripting.
Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
Culture of DevOps and high-quality software standards.
Fluency in English.

💡 Responsibilities

Operationalization of Machine Learning Models
Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
Tooling, Infrastructure & Experimentation Support
Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
Continuous Learning
Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWS Python SQL Bash Cloud Computing Kubernetes Machine Learning PyTorch Data science REST API Tensorflow CI/CD Linux DevOps Microservices

Posted about 5 hours ago

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🔥 Data Scientist (NLP, Transformers, PyTorch, Deep Learning)

Posted about 7 hours ago

📍 Poland, Romania, Bulgaria, Estonia, Hungary, Ukraine

🏢 Company: SupportYourApp👥 1001-5000💰 over 2 years agoData Collection and Labeling UX Design Outsourcing Web Development Technical Support Call Center Information Technology Travel Software Social Media

🔧 Requirements

2.5+ years of commercial experience in Machine Learning (including NLP)
Fluency in written and spoken English or Ukrainian (C1-C2)
Experience working with transforming models (usage, re-training, fine tuning)
Experience with Deep Learning frameworks: Pytorch, Tensorflow
Solid experience with Python, OOP, Rest API (Flask, Celery)
Good knowledge of NLP tools and libraries: NLTK, Spacy, scikit-learn, GenSim
Experience with Seq2Seq models
Experience with Docker and Docker-compose for effective containerization and deployment strategies
Deep understanding of theoretical concepts Language modeling, Named Entity Recognition, text classification, clustering, topic modeling, embedding, ML metrics

💡 Responsibilities

Improve and maintain current solutions for support automation
Develop new features after being fully familiar with the architecture
Discuss the project strategy, brainstorm with the team

Docker Python Machine Learning MLFlow NLTK PyTorch Algorithms Data Structures REST API Pandas Tensorflow

Posted about 7 hours ago

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🔥 Junior Full Stack AI Engineer

Posted about 8 hours ago

📍 Worldwide

🧭 Full-Time

🔍 AI

🏢 Company: Creai

🔧 Requirements

Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
Proven ability to tackle complex problems using data analytics and predictive modeling.
Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
Familiarity with data structures, data modeling, and software architecture principles.

💡 Responsibilities

Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
Document development processes and present technical results to technical and non-technical stakeholders.

AWS Python SQL Cloud Computing Data Analysis Full Stack Development Java Machine Learning PyTorch Software Architecture Azure Pandas Tensorflow Communication Skills RESTful APIs Scala Data modeling

Posted about 8 hours ago

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🔥 Engineering Manager, Machine Learning

Posted about 12 hours ago

📍 United States

🧭 Full-Time

💸 185000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: WellSaid

🔧 Requirements

5+ years of experience managing a software engineering team and a proven track record.
2+ years of experience using Cloud platforms (GCP, AWS, etc),
Background in Machine learning frameworks (such as PyTorch), and data processing tools (Spark, Pandas, etc.) are a big bonus but not mandatory.
You are proficient in software development practices, including specing, documenting, testing, reviewing, deploying, and monitoring, and are passionate about writing clean, defensible code.
Excellent communication and collaboration skills to work effectively with cross-functional teams, including software engineers, data engineers, product managers, execs, and other stakeholders.
You are flexible and capable of working with a diverse team with various communication styles and needs. You are empathic and supportive.
You create equitable processes across the entire employee lifecycle. You are particularly mindful of addressing the needs of marginalized people.
Experience in text-to-speech, speech-to-text, audio libraries, or cloud storage is a bonus.

💡 Responsibilities

Build and lead a high-performing and collaborative machine learning team, fostering an environment of innovation, growth, and accountability.
Collaborate with Product Management and other stakeholders to define, prioritize, and deliver the ML roadmap, aligning it with business goals and technical feasibility.
Ensure that complex projects are effectively scoped, planned, executed, and delivered on time while meeting cross-team quality standards.
Oversee multiple concurrent machine learning projects simultaneously, facilitating planning, and generally ensuring that deliverables are met on time.
Own and run team standups, sprint planning, and other delivery ceremonies.
Work one-on-one with team members to meet their needs, providing regular and constructive feedback. You’ll show concern and success for the well-being of others and do what you can to support people.
Conduct design, code and pull request reviews with the team.
Champion best practices in machine learning and software engineering including testing, documentation, readability, defensibility, etc.
Manage team resources effectively by prioritizing projects based on impact while balancing budget constraints for infrastructure (e.g., compute resources) or tooling needs.
Foster customer empathy within the team by introducing real-world use cases, facilitating discussions on customer pain points, reviewing feedback loops, and ensuring alignment with user needs.
All together you’ll foster an inclusive team culture and working environment.

AWS Leadership Project Management Python Software Development SQL Agile Cloud Computing Data Analysis GCP Git Machine Learning People Management Product Management PyTorch SCRUM Software Architecture Algorithms Data engineering Data Structures Pandas Spark Communication Skills CI/CD RESTful APIs Mentoring Team management Data modeling Debugging

Posted about 12 hours ago

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🔥 Senior/Staff Applied Scientist - Relocate to Europe!

Posted about 22 hours ago

📍 Europe

🧭 Full-Time

🔍 AI photo editing

🏢 Company: Photoroom

🔧 Requirements

3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch
Deep experience with diffusion models, for image creation or edition
Experience working on products requiring complex architectures

💡 Responsibilities

Work on several ML solutions, starting from the requirements, literature, all the way to a product
Own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups
Master the whole pipeline, from training models to putting them into production and monitoring their performance
Work on new features, new applications, and some 0→1 solutions

Image Processing Machine Learning PyTorch Algorithms Data Structures Tensorflow

Posted about 22 hours ago

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🔥 Staff Machine Learning Engineer

Posted 1 day ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted 1 day ago

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🔥 AI Engineer

Posted 1 day ago

📍 U.S.

🧭 Full-Time

💸 145000.0 - 198000.0 USD per year

🔍 Software Development

🏢 Company: Vizcom

🔧 Requirements

Experience working with 2D and 3D diffusion techniques.
Understanding of 3D data and AI to make it more accessible and practical.
Familiar with LLMs and can apply them to solve real problems for users.
Make systems that are efficient, scalable, and robust.
Build tools with the people using them in mind, ensuring that AI enhances their work rather than complicating it.

💡 Responsibilities

Advance systems for generating, refining, and enhancing content in 2D and 3D.
Use diffusion models to generate shapes and materials, ensuring outputs are consistent and useful for real-world design.
Build LLM-powered tools that help designers by automating repetitive tasks and providing thoughtful feedback.
Adapt AI systems to be fast, reliable, and easy to use in real-time workflows.
Ensure that 2D and 3D tools work together seamlessly, helping designers move easily between different types of projects.

Backend Development Python 3D Modeling - Rhino Artificial Intelligence Image Processing Kubernetes Machine Learning PyTorch Algorithms Data Structures Tensorflow Communication Skills Analytical Skills Problem Solving RESTful APIs JSON Software Engineering Data analytics Debugging

Posted 1 day ago

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🔥 Senior Machine Learning Engineer II

Posted 1 day ago

📍 India

🔍 Software Development

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

8+ 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.)

💡 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

Python SQL Apache Airflow Cloud Computing Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms REST API Tensorflow Software Engineering

Posted 1 day ago

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🔥 Head of Applied AI

Posted 2 days ago

📍 United States

🔍 Life Sciences

🏢 Company: TetraScience👥 101-250💰 $80,000,000 Series B almost 4 years agoPharmaceutical Biotechnology Data Management Internet of Things Life Science Data Integration Software

🔧 Requirements

15+ years of hands on experience in building data engineering platform, and AI/ML solutions, with a substantial portion in life sciences
Proven ability to define and drive AI strategy within a life sciences organization
Proven track record of deploying AI models and Use cases in production, addressing real-world biological and other life science problems
Deep understanding of life sciences domains such as: Drug development pipelines, Assay / test method development areas such as HTS, DMPK etc., Regulatory and compliance framework
Experience in managing AI initiatives from concept to deployment
Proven track-record of success developing product strategy within a start-up environment
Strong knowledge of machine learning (ML) and artificial intelligence (AI) methods, including: Deep Learning (DL), Reinforcement Learning (RL), Natural Language Processing (NLP), Computational biology and statistical modeling
Proficiency in programming languages and tools such as Python, R, TensorFlow, PyTorch etc.
Significant experience with AWS, Services-Architecture and web-scale design patterns
Excellent communication skills to convey complex technical concepts to non-technical stakeholders
Experience in collaborating with external partners and customers
Ability to advocate and evangelize for AI initiatives internally and externally

💡 Responsibilities

Own, define, and execute the technical and product vision for Applied AI solutions
Support and advise executive leadership regarding technical and commercial feasibility
Identify business opportunities and develop AI-driven solutions
Understand the commercial impact of AI in life sciences (e.g., improving R&D efficiency, reducing costs, accelerating time-to-market)
Provide key inputs into technology evaluation and technology planning activities
Provide thought leadership and represent TetraScience at industry and technology conferences
Collaborate with the customers and productize solutions
Collaborate with cross functional teams to build and evangelize the solutions
Provide hands on technical leadership for the SAIL (Scientific AI Leadership) team

AWS Backend Development Leadership Project Management Python SQL Artificial Intelligence Cloud Computing Machine Learning Product Management PyTorch Software Architecture Cross-functional Team Leadership Data engineering Data science Tensorflow Communication Skills RESTful APIs Microservices Strategic thinking Data modeling

Posted 2 days ago

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