Computer Vision / Machine Learning Engineer Job at Beacon Hill (Burbank)

Machine Learning Engineer

We are seeking a talented and experienced Machine Learning Engineer with experti...

Location

United States , Boston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

3+ years of professional experience working as a Machine Learning Engineer or in a related role focused on computer vision
Strong proficiency in Python and experience with deep learning libraries such as TensorFlow, PyTorch, or Keras
Hands-on expertise with computer vision models and architectures, including YOLO, U-Net, and CNNs/RCNNs
Extensive experience with image segmentation, object detection, and related computer vision techniques
Familiarity with preprocessing methods like image blurring and contrast enhancements to improve model outcomes
Proven ability to build and deploy production-ready code for machine learning models at scale
Understanding of best practices for scalable system design, deployment, and maintenance of machine learning pipelines
Strong problem-solving skills and a passion for tackling complex, unstructured problems in the domain of computer vision
Effective verbal and written communication skills to articulate solutions to both technical and non-technical stakeholders.

Job Responsibility

Design, develop, and deploy scalable and production-ready computer vision models for real-world applications
Leverage algorithms and frameworks like YOLO, U-Net, CNNs/RCNNs, and other deep learning architectures for tasks such as image segmentation, object detection, and classification
Implement pre- and post-processing techniques, including image blurring, contrast enhancements, and other image augmentation pipelines, to optimize model performance
Write efficient, maintainable, and clean Python code for integrating computer vision models into production systems
Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand project needs and deliver solutions
Analyze and improve model performance, accuracy, and efficiency through continuous evaluation and enhancement
Stay updated on the latest advancements in computer vision and machine learning techniques, incorporating new technologies where appropriate
Contribute to model optimization and inference processes to ensure scalability and low latency in production environments
Troubleshoot production issues and implement solutions to improve reliability and performance
Document technical solutions, workflows, and methodologies for internal and external stakeholders.

What we offer

Access to top jobs
Competitive compensation
Medical insurance
Vision insurance
Dental insurance
Life and disability insurance
Company 401(k) plan
Free online training.

Fulltime

Machine Learning Engineer - Computer Vision

We are seeking a highly skilled and motivated Machine Learning Engineer speciali...

Location

United States , Arlington

Salary:

Not provided

CaseGuard

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools
Experience with data manipulation tools such as Pandas, NumPy, and SQL
Strong programming skills in Python and C++
Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm
Proficiency in working with image and video data, including preprocessing and augmentation techniques
Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning
Strong communication skills and the ability to work collaboratively in a team environment

Job Responsibility

Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition
Optimize and fine-tune deep learning algorithms for real-time performance
Work closely with the software engineers and product teams to identify opportunities for leveraging data
Collect, clean, and preprocess large datasets to prepare for model training and evaluation
Evaluate and optimize machine learning models for accuracy, performance, and scalability
Deploy models into production environments and monitor their performance to ensure reliability
Stay up-to-date with the latest advancements in computer vision and artificial intelligence
Collaborate with cross-functional teams to integrate machine learning solutions into business processes
Document processes, models, and implementations to ensure reproducibility and scalability

What we offer

Competitive salary
Comprehensive health and wellness benefits
Professional development opportunities and continuous learning programs
Collaborative and inclusive work environment

Middle/Senior Computer Vision Engineer

The CHI Software team is not standing still. We love our job and give it one hun...

Location

Salary:

Not provided

CHI Software

Expiration Date

Until further notice

Requirements

MS/PhD degree in Computer Science or related field
Upper-Intermediate level of English is mandatory
3+ years experience in Computer Vision / Machine Learning
Understanding of state-of-the-art CV approaches
Proficiency in Python, including expertise in key CV / DL libraries such as OpenCV, TensorFlow, PyTorch, Keras etc.
Experience with some of the well-known neural networks architectures such as YOLO, MobileNet, U-Net, R-CNN-based architectures etc.
Experience with Git, Docker, Linux

Job Responsibility

Actively contribute to the development of the company’s research and pre-sales activities
Contribute to new ideas for implementation within the R&D center
Join ongoing projects
Tasks related to: Sensor fusion
Deep fake
Image generation
3D Reconstruction

What we offer

Use the latest technologies
Participate in technical events and conferences (the cost is covered by the company)
Regular techtalks and professional development
Build strong teamwork skills and become an essential part of dynamic teams
Improve your English in classes and speaking directly with clients
Increase your productivity and communication level via Scrum, Kanban, and Agile methodologies

Machine Learning Engineer

At Corsearch, we are dedicated to creating a world where consumers can trust the...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

Corsearch

Expiration Date

Until further notice

Requirements

Proven experience as a Machine Learning Engineer with at least 3 years of professional experience
Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras
Experience with image processing, feature extraction, and text preprocessing techniques
Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis
Hands-on experience with large datasets and data pipelines for training and deploying ML models
Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions
Full professional English proficiency

Job Responsibility

Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition)
Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis
Collaborate with cross-functional teams to improve product and system performance
Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions
Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation
Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations

Fulltime

Machine Learning Engineer – Edge AI & Computer Vision

As a Machine Learning Engineer – Edge AI & Computer Vision, you will play a pivo...

Location

Romania; Serbia , Timișoara; Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

2-3 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

Senior Engineering Manager, Computer Vision

Hover helps people design, improve, and protect the properties they love. With p...

Location

United States , San Francisco/New York

Salary:

247000.00 - 305000.00 USD / Year

HOVER

Expiration Date

Until further notice

Requirements

2+ years of managing high impact CV/ML teams (or tech lead / staff+ leadership) with a track record of building high-performing teams
5+ years of hands-on experience in computer vision or ML (ideally 3D reconstruction, multi-view geometry, or ML-based reconstruction)
Proven track record partnering with product teams to scope features, run experiments, and iterate based on customer feedback and data
Familiarity with modern MLOps stacks (cloud GPUs, CI/CD, monitoring) and a passion for measurable reliability and cost control
Ability to articulate complex trade-offs to executives, engineers, and customers alike
Bachelor’s, Master’s, or PhD in CS, ML, or related field

Job Responsibility

Leading the Team: Build and nurture a high-performing, diverse team of senior ICs and emerging leaders. From hiring and onboarding to coaching and career-pathing, you’ll make talent development your first priority
Owning a Scaling Product Line: Take end-to-end ownership of a critical computer vision product area, ensuring our research breakthroughs translate into production systems that delight customers at scale
Shaping the Roadmap: Partner with Product and Design to translate market opportunities and research advances into a sequenced plan. You’ll balance innovation with operational excellence, driving projects from data strategy and experimentation through to reliable production deployment
Driving Technical Excellence: Set engineering standards for accuracy, latency, cost control, and reliability. Model strong cross-functional collaboration and ensure your team’s work integrates smoothly into Hover’s larger platform
Communicating Impact: Clearly articulate progress, trade-offs, and technical choices to executives, stakeholders, and the broader team
earning trust at every level

What we offer

Compensation - Competitive salary and meaningful equity in a fast-growing company
Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
Paid Time Off - Unlimited and flexible vacation policy
Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave
Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Fulltime

Senior Software Engineer | Computer Vision & Machine Learning

We are looking for a seasoned, hands-on Software Engineer with deep expertise in...

Location

Germany; Spain , Mannheim; Valencia

Salary:

Not provided

HUBBLR GmbH

Expiration Date

Until further notice

Requirements

4+ years of professional experience building ML/CV applications in Python
Proven expertise in Computer Vision: Demonstrable experience with object detection, image segmentation, or related tasks in a production environment
Deep Learning Proficiency: Hands-on experience with modern frameworks like PyTorch or TensorFlow
CV Toolkit: Strong skills with libraries such as OpenCV, scikit-image, or similar
Technical Leadership: Experience leading at least one major ML/CV project from initial concept to successful production deployment
Model Optimization: Practical knowledge of techniques like quantization, pruning, or knowledge distillation to make models efficient
Pragmatic Mindset: An analytical, MVP-focused approach to problem-solving, with a focus on delivering value quickly
Excellent Communication: Fluent in English, with the ability to provide constructive feedback to teammates and communicate clearly with clients
Location: Ability to work from our Mannheim or Valencia office in a hybrid model

Job Responsibility

Lead Technical Development: Design, build, and deploy production-ready computer vision solutions for real-world applications like object detection, image segmentation, and theft detection
Own the ML Lifecycle: Take full ownership of the end-to-end ML pipeline, including data annotation workflows (e.g., CVAT), model training, optimization (quantization, pruning), and deployment on cloud infrastructure
Drive Architectural Decisions: Actively participate in and influence architectural and technological choices for new and existing ML-powered software projects
Collaborate and Guide: Work within a distributed team (Münster, Hamburg, Mannheim, Valencia), provide technical guidance, conduct code reviews, and champion best practices
Act as a Client Partner: Communicate directly with client CTOs and stakeholders. You'll provide status updates, estimate development tasks, and help manage project scope and timelines

What we offer

High Impact: You won't be a small cog in a big machine. You will own projects, see your work go live, and make a tangible impact on our clients' businesses
Growth & Learning: You'll be exposed to a variety of projects across different industries, ensuring you're always learning and tackling new challenges
A Culture of Trust & Ownership: We hire smart people and trust them. You'll have the autonomy to make decisions and manage your work independently
Diverse & Inclusive Team: We are committed to building a diverse team. We welcome people who are like us and people who are unlike us. This includes but is not limited to gender, ethnicity, age, academic background, and character

Fulltime

Machine Learning Engineer

We’re looking for a seasoned Machine Learning Engineer (Generalist) with solid e...

Location

Salary:

Not provided

InData Labs

Expiration Date

Until further notice

Requirements

5+ years of experience in applied Machine Learning
Proven hands-on expertise in both Computer Vision and Natural Language Processing
Solid understanding and experience with RAG pipelines
Ability to design, build, and optimize ML solutions end-to-end
Experience working directly with clients and balancing business vs technical priorities
Excellent communication skills (English – Upper Intermediate or higher)
Self-starter mindset, comfortable owning the full lifecycle of a project
Solid Python skills and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, HuggingFace, OpenCV, LangChain, etc.)

Job Responsibility

Understand diverse business needs and technical constraints
Propose viable and innovative ML solutions (especially RAG-based or hybrid systems)
Communicate with clients effectively and confidently
Deliver high-quality work with minimal supervision
Full ownership of ML projects (scoping, modeling, deployment, communication)
Build and fine-tune models in both CV and NLP domains
Design and implement Retrieval-Augmented Generation (RAG) pipelines
Propose technical solutions based on each client’s unique business goals and our company’s delivery capabilities
Communicate project plans, limitations, and tradeoffs directly with clients
Collaborate cross-functionally with delivery, product, and sales teams

What we offer

100% remote with flexible hours
Work from anywhere in the world
Be part of a senior, talented, and supportive team
Flat structure – your input is always welcome
Clients in the US and Europe, projects with real impact
Room to grow and experiment with cutting-edge AI solutions

Computer Vision / Machine Learning Engineer

Beacon Hill

Location:
United States , Burbank

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 10, 2026

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Job Posted:February 10, 2026

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