Vision-Language Model (VLM) Engineer Job at Wide and Wise (Istanbul)

Staff Research Scientist - VLM / VLA

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
5+ years of experience in AI/ML research and applied development
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems)
Strong programming skills in Python
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization

Job Responsibility

Research, design, and prototype advanced Vision-Language Models and Vision-Language-Action foundational models tailored for real-time semantic understanding and behavioral prediction in autonomous driving
Drive the technical strategy for onboard model optimization, leading initiatives in model quantization, pruning, knowledge distillation, and compilation to ensure high-parameter models execute with ultra-low latency on vehicle edge hardware
Advance multimodal alignment techniques, ensuring seamless integration of camera, radar, LiDAR, and textual/logical prompts into unified foundational architectures
Influence technical roadmaps and shape strategic machine learning priorities that align with safety requirements, core product milestones, and next-generation vehicle launches
Provide technical mentorship and long-term vision to a multidisciplinary group of machine learning engineers, software developers, and hardware specialists
Foster internal innovation by collaborating closely with perception, planning, and infrastructure teams to integrate foundational models into the core autonomous software stack
Represent the company externally to the global scientific community by publishing original research, securing patents, and presenting at top-tier artificial intelligence and robotics conferences

What we offer

Medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Applied Researcher

Aurora’s mission is to deliver the benefits of self-driving technology safely, q...

Location

United States , Mountain View; Pittsburgh; San Francisco; Seattle

Salary:

Not provided

Aurora Innovation

Expiration Date

Until further notice

Requirements

PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background)
Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models
Hands-on experience with 'jagged edges'
Practical researcher: Ability to translate complex papers into production-ready code
Collaborative Guide: Willingness to mentor existing team members and bridge the knowledge gap
Excitement for large-scale infrastructure and supercomputing environments (e.g., Aurora)
Architectural Creativity: Ability to rethink and redo entire model architectures rather than just fine-tuning
Strong programming skills in Python
Preference for a strong depth programming in modern C++

Job Responsibility

Architectural Exploration: Deep dive into VLM/VLA architectures to determine their viability for our specific problem sets
Technical Mentorship: Act as the subject matter expert and guide for an exceptionally capable engineering team eager to move into this space
Practical Implementation: Bridge the gap between high-level academic theory and practical, scalable applications
Innovation: Redesign and optimize model architectures to leverage high-performance computing environments like Aurora

Applied Researcher

Location

United States , Seattle

Salary:

Not provided

Aurora Innovation

Expiration Date

Until further notice

Requirements

PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background)
Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models
Hands-on experience with 'jagged edges'—knowing where current architectures fail and how to troubleshoot them
Practical researcher: Ability to translate complex papers into production-ready code
Collaborative Guide: Willingness to mentor existing team members and bridge the knowledge gap
Excitement for large-scale infrastructure and supercomputing environments (e.g., Aurora)
Architectural Creativity: Ability to rethink and redo entire model architectures rather than just fine-tuning
Strong programming skills in Python
Preference for a strong depth programming in modern C++

Job Responsibility

Architectural Exploration: Deep dive into VLM/VLA architectures to determine their viability for our specific problem sets
Technical Mentorship: Act as the subject matter expert and guide for an exceptionally capable engineering team eager to move into this space
Practical Implementation: Bridge the gap between high-level academic theory and practical, scalable applications
Innovation: Redesign and optimize model architectures to leverage high-performance computing environments like Aurora

Fulltime

Applied Researcher

Who we are: Aurora’s mission is to deliver the benefits of self-driving technolo...

Location

United States , San Francisco

Salary:

Not provided

Aurora Innovation

Expiration Date

Until further notice

Requirements

PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background)
Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models
Hands-on experience with 'jagged edges'—knowing where current architectures fail and how to troubleshoot them
Practical researcher: Ability to translate complex papers into production-ready code
Collaborative Guide: Willingness to mentor existing team members and bridge the knowledge gap
Excitement for large-scale infrastructure and supercomputing environments (e.g., Aurora)
Architectural Creativity: Ability to rethink and redo entire model architectures rather than just fine-tuning
Strong programming skills in Python
Preference for a strong depth programming in modern C++

Job Responsibility

Architectural Exploration: Deep dive into VLM/VLA architectures to determine their viability for our specific problem sets
Technical Mentorship: Act as the subject matter expert and guide for an exceptionally capable engineering team eager to move into this space
Practical Implementation: Bridge the gap between high-level academic theory and practical, scalable applications
Innovation: Redesign and optimize model architectures to leverage high-performance computing environments like Aurora

Applied Researcher

Aurora’s mission is to deliver the benefits of self-driving technology safely, q...

Location

United States , Pittsburgh

Salary:

Not provided

Aurora Innovation

Expiration Date

Until further notice

Requirements

PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background)
Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models
Hands-on experience with 'jagged edges'—knowing where current architectures fail and how to troubleshoot them
Practical researcher: Ability to translate complex papers into production-ready code
Collaborative Guide: Willingness to mentor existing team members and bridge the knowledge gap
Excitement for large-scale infrastructure and supercomputing environments (e.g., Aurora)
Architectural Creativity: Ability to rethink and redo entire model architectures rather than just fine-tuning
Strong programming skills in Python
Preference for a strong depth programming in modern C++

Job Responsibility

Architectural Exploration: Deep dive into VLM/VLA architectures to determine their viability for our specific problem sets
Technical Mentorship: Act as the subject matter expert and guide for an exceptionally capable engineering team eager to move into this space
Practical Implementation: Bridge the gap between high-level academic theory and practical, scalable applications
Innovation: Redesign and optimize model architectures to leverage high-performance computing environments like Aurora

Machine Learning Scientist II - Gen AI

We are seeking a highly motivated and experienced Machine Learning Scientist to ...

Location

United States , Boston

Salary:

127300.00 - 186700.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Artificial Intelligence, or a related field
Experience training or fine-tuning large language models (LLMs) using modern frameworks
Strong grasp of deep learning, particularly transformer architectures and foundational model training techniques for text and vision modalities
Proficient in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers)
Hands-on experience in developing and deploying LLM- or VLM-powered applications
Familiarity with prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol, Agentic AI and evaluation of generative models
Understanding of MLOps practices and how to scale experiments into production-grade solutions
Strong communication and documentation skills
Collaborative mindset with the ability to thrive in a fast-paced, interdisciplinary environment

Job Responsibility

Develop and fine-tune large language models (LLMs) and vision-language models (VLMs) to address real-world challenges in the home security space
Work with key stakeholders to identify key research initiatives that can have impact on business outcomes
Take research initiatives from idea generation to production
Collaborate with engineers and product managers to integrate capabilities into our existing systems
Stay up-to-date on the latest advancements in LLMs, VLMs, and multimodal systems. Evaluate new techniques for potential adoption and improvement of internal capabilities

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits

Fulltime

Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to bridge the gap between adva...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Artificial Intelligence, or High-Performance Computing
Minimum 4+ years of experience in Machine Learning, with a mandatory split focus between Model Architecture and Systems Optimization
Proven experience building and shipping Vision-Language Models (e.g., architectures similar to CLIP, Flamingo, Pix2Struct)
Must have experience creating custom evaluation sets for tasks like Document Understanding
Expert-level knowledge of SGLang and vLLM for optimized serving
Demonstrable experience optimizing models for both NVIDIA (H100) and AMD (MI300x) accelerators
Hands-on experience with Knowledge Distillation and Pruning to reduce model latency for target serving sizes
A track record of taking complex multi-modal models from research code to a deployed, user-facing production product

Job Responsibility

Continuously evaluate and implement the latest research trends in Vision-Language Models, specifically focusing on Referring Expression Comprehension (REC), Document Understanding (Pix2Struct), and Visual Question Answering (VQA)
Design and build massive-scale training and evaluation datasets, ensuring multilingual compatibility and broad visual understanding for European market requirements
Lead the model co-design process, creating architectures that are natively optimized for accelerator capabilities (compute-bound vs. memory-bound operations)
Architect high-throughput serving layers using SGLang and vLLM, optimizing for non-standard decoding strategies
Implement scientific experiments to find the Pareto-optimal frontier between serving latency and generation quality
Execute Knowledge Distillation (KD), unstructured pruning, and quantization techniques to fit large-scale VLM architectures onto single-node GPU setups (specifically H100 or MI300x) without compromising model quality
Write and optimize custom kernels (CUDA/HIP) to accelerate serving latency, identifying bottlenecks at the operator level
Manage the full pre-training and post-training tech stack, ensuring seamless integration between model weights and inference engines
Take ownership of landing the serving-efficient model in a production environment, ensuring reliability and scalability

Fulltime

Robotics Engineer

sensmore automates the world's largest machines with unprecedented intelligence....

Location

Germany , Berlin / Potsdam

Salary:

Not provided

Sensmore GmbH

Expiration Date

Until further notice

Requirements

Current Enrollment: Strong academic standing in a Master’s program (Robotics, Computer Science, Electrical Engineering, Automation, or a related field)
Technical Proficiency: Strong hands-on experience with Python and PyTorch
Ownership & Proactivity: Ability to take ownership of your tasks, ability to drive sub-projects from concept to execution with a "getting things done" mentality
GenAI Foundations: A deep interest in Vision-Language Models (VLM) and their application in Robotics and Automation
Project Experience: Initial successful projects or coursework in GenAI, Robotics, or Computer Vision

Job Responsibility

Data Analysis & Engineering: Analyze and preprocess large-scale, multi-modal datasets including video, radar, and lidar streams
Dataset Generation: Work on self-supervised dataset generation pipelines to train next-generation VLA models
Model Development: Utilize state-of-the-art GenAI tools and frameworks (e.g., HuggingFace, Gemini, Unsloth) to build and refine models
Prompt & Model Optimization: Apply prompt optimization techniques and fine-tuning to improve model reasoning and action generation
Training & Evaluation: Execute training runs, monitor performance, and rigorously evaluate results using new industrial data
Deployment: Assist in optimizing model deployment to ensure reliability and real-time performance in production-grade heavy industry settings

What we offer

Attractive compensation package and stock options
Beverages on-site and regular social events
Engage with top-tier researchers, engineers, and thought leaders
Influence the future of robotic technologies and tackle significant technological challenges
Assistance with relocation to Berlin

Fulltime

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Vision-Language Model (VLM) Engineer

Job Description

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