AI Research Engineer

We're seeking a Research Engineer to conduct innovative research in key AI areas...

Location

United Kingdom

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

5+ years of engineering experience with significant AI/ML focus
Demonstrated research experience through publications, open-source contributions, or impactful projects
Strong engineering fundamentals and experience implementing AI systems in production environments
Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches
Experience with model fine-tuning, adapters, quantization, and distillation frameworks
Self-motivation and ability to define and pursue research directions independently
Excellent understanding of current challenges in AI safety, reliability, and alignment
Strong communication skills and ability to explain complex research concepts clearly
Passion for staying current with the rapidly evolving AI research landscape

Job Responsibility

Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation
Design and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human data
Contribute to the academic AI community through publications and open-source contributions
Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the field
Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches
Develop scalable frameworks for systematic evaluation of model behaviours and capabilities
Create tools and frameworks that transform research insights into practical applications
Build infrastructure to support large-scale research experiments when needed
Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals
Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications

What we offer

competitive salary
benefits
remote working
impactful, mission-driven culture

AI Researcher, Core ML

As an AI Researcher, you will be pushing the frontier of foundation model resear...

Location

United States , San Francisco

Salary:

160000.00 - 230000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

Strong background in Machine Learning
Experience in building state-of-the-art models at large scale
Experience in developing algorithms in areas such as optimization, model architecture, and data-centric optimizations
Passion in contributing to the open model ecosystem and pushing the frontier of open models
Excellent problem-solving and analytical skills
Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field

Job Responsibility

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that significantly improve over state-of-the-art
Take advantage of the computational infrastructure of Together to create the best open models in their class
Understand and improve the full lifecycle of building open models
release and publish your insights (blogs, academic papers etc.)
Collaborate with cross-functional teams to deploy your models and make them available to a wider community and customer base
Stay up-to-date with the latest advancements in machine learning

What we offer

competitive compensation
startup equity
health insurance
other competitive benefits

Fulltime

Ai / Ml Engineer Iii

Leads R&D efforts, develops scalable AI systems, and contributes to strategic pr...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

3+ years of programming experience in Python
Familiar with some of computer vision, machine learning and deep learning libraries (e.g. OpenCV, TensorFlow, Keras, PyTorch, Scikit-learn…)
Deep understanding of ML/AI architectures and applications
Strong in experimentation, scalability, and real-time systems
Advanced problem-solving and engineering judgment
Understands the latest innovations in machine learning and computer vision
Ability to design complex experiments and to communicate them clearly to other team members
Ability to design and develop components addressing the needs their research identified
Implement algorithms and solutions presented in papers
Advance projects to production (from prototype/research phase to production phase)

Job Responsibility

Owns and maintains major components and complex features of a project
Drives research initiatives and develops innovative algorithms
Implements advanced algorithms with awareness of tradeoffs
Coaches team members on ML concepts, best practices, and procedures
Occasionally collaborates cross-functionally on high-impact projects to integrate AI technologies into products and services
Demonstrates a strong understanding of how components and features impact the business, and ensures work is aligned with overall project outcomes
Stay updated on the latest AI trends
Write and review research reports and experiment results

Fulltime

AI ML Engineer

We’re seeking a self-motivated, self-learning AI/ML Engineer to help build a pro...

Location

India , Pune City

Salary:

Not provided

Gsource Technologies LLC

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s in Computer Science, Data Science, Electrical Engineering, or a related field
Proficiency in Python and experience with Jupyter notebooks
Familiarity with deep-learning frameworks (TensorFlow, PyTorch, or similar)
Exposure to computer vision (e.g., OpenCV) and/or OCR tools is a plus
Experience calling LLM APIs (OpenAI, LangChain, etc.) or willingness to learn prompt engineering
Self-Motivated & Self-Learner: Able to independently research new models and implement proof-of-concept experiments
Strong analytical and problem-solving abilities
Clear written and verbal communication, comfortable presenting technical findings
Work Experience 3-5 years

Job Responsibility

Help build a proof-of-concept for a multi-modal PDF-to-vector pipeline
Blend research on cutting-edge vision+language models with hands-on prototyping of the end-to-end orchestration layer, from model outputs to structured vector primitives

What we offer

Sodexo meal passes provided for daily nutritional needs

Fulltime

Lead AI ML Engineer

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of total IT experience
At least 4+ years in AI/ML development
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Experience with NLP libraries such as spaCy, Hugging Face Transformers
Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
Hands-on experience with Generative AI, LLMs, and Agentic AI
Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
Familiarity with computer vision frameworks (OpenCV)
Excellent problem-solving and communication skills
Ability to lead and mentor junior engineers

Job Responsibility

Lead the design and implementation of AI/ML models and solutions for complex business problems
Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
Apply deep learning and transformer-based architectures (e.g., BERT, GPT) for NLP and vision tasks
Implement computer vision solutions using OpenCV and related tools
Collaborate with cross-functional teams to integrate AI models into production systems
Apply MLOps best practices and manage CI/CD pipelines for model deployment
Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Fulltime

ML Postdoc Researcher - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

50.00 - 60.00 USD / Hour

Truveta

Expiration Date

Until further notice

Requirements

Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
Strong communication skills and the ability to work effectively in a collaborative research environment

Job Responsibility

Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks
Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy
Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning
Deliver the next generation of innovation in trustworthy healthcare

What we offer

Competitive compensation
Company-issued laptop and equipment
Opportunities for future full-time positions

Senior Research Engineer

We are seeking a highly skilled Senior Research Engineer to collaborate closely ...

Location

United States

Salary:

210000.00 - 309000.00 USD / Year

Assembly

Expiration Date

Until further notice

Requirements

Strong expertise in the Python ecosystem and major ML frameworks (PyTorch, JAX)
Experience with lower-level programming (C++ or Rust preferred)
Deep understanding of GPU acceleration (CUDA, profiling, kernel-level optimization)
TPU experience is a strong plus
Proven ability to accelerate deep learning workloads using compiler frameworks, graph optimizations, and parallelization strategies
Solid understanding of the deep learning lifecycle: model design, large-scale training, data processing pipelines, and inference deployment
Strong debugging, profiling, and optimization skills in large-scale distributed environments
Excellent communication and collaboration skills, with the ability to clearly prioritize and articulate impact-driven technical solutions

Job Responsibility

Investigate and mitigate performance bottlenecks in large-scale distributed training and inference systems
Develop and implement both low-level (operator/kernel) and high-level (system/architecture) optimization strategies
Translate research models and prototypes into highly optimized, production-ready inference systems
Explore and integrate inference compilers such as TensorRT, ONNX Runtime, AWS Neuron and Inferentia, or similar technologies
Design, test, and deploy scalable solutions for parallel and distributed workloads on heterogeneous hardware
Facilitate knowledge transfer and bidirectional support between Research and Engineering teams, ensuring alignment of priorities and solutions

What we offer

competitive equity grants
100% employer-paid benefits
flexibility of being fully remote

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

AI Research Engineer - ML Engineering

Helsing

Location:
Germany; United Kingdom , Berlin ▼
Munich
London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 16, 2026

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