computer vision engineer

MASTER-WORKS

<div>Responsibilities<ul><li>
Solve real-world Computer Vision problems using cutting-edge techniques.</li><li>
Design and implement robust, industry-grade algorithms.</li><li>
Utilize OpenCV, Python, and deep learning frameworks for model training.</li><li>
Work with deep learning libraries such as Keras, TensorFlow, and PyTorch.</li><li>
Develop integrations with internal and external microservices.</li><li>
Implement deployment practices using Docker, Kubernetes, and model compression techniques.</li><li>
Research the latest technologies and develop proof of concepts (POCs).</li><li>
Build and train state-of-the-art deep learning models for:</li><li><ul><li>
Object Detection (Mandatory)</li><li>
Segmentation</li><li>
Classification</li><li>
Object Tracking</li><li>
Visual Style Transfer</li><li>
Generative Adversarial Networks (GANs)</li></ul></li><li>
Collaborate with researchers and engineers to develop and deploy Computer Vision solutions.</li><li>
Plan and execute Computer Vision research projects, defining scope, objectives, and deliverables.</li><li>
Provide specialized technical and scientific research support for ongoing and new AI initiatives.</li></ul> 

Requirements 
Required Skills<ul><li>
C++ (Mandatory)</li><li>
Python (Mandatory)</li><li>
Image Processing (Mandatory)</li><li>
Computer Vision (Mandatory)</li><li>
Deep Learning (Mandatory)</li><li>
Object Detection</li><li>
Machine Learning</li><li>
Pattern Recognition</li><li>
Artificial Intelligence (AI)</li><li>
Data Science</li><li>
Generative Adversarial Networks (GANs)</li><li>
Flask</li><li>
SQL</li></ul></div>

SDE-1 (Computer Vision Engineer)

Hustech

hustech.ai builds production-ready AI systems for real businesses. We work with international clients across automation, NLP, Computer Vision, LLM applications, and custom AI products. Our focus is delivery, reliability, and real business outcomes.Role OverviewWe are hiring an experienced Applied AI Engineer who can take ownership of client projects from start to finish.This is not a research-only role and not for fresh graduates. We need someone who can understand client requirements, design the right solution, build the system, deploy it, and support delivery.You should be comfortable handling different AI project types such as ML, Deep Learning, NLP, Computer Vision, LLM apps, RAG systems, and AI agents.What You&rsquo;ll Do<ul><li>Join client calls and convert requirements into technical solutions</li><li>Design end-to-end AI system architecture</li><li>Build and train ML / DL models</li><li>Develop NLP, CV, LLM, RAG, and agent-based systems</li><li>Build APIs and backend services using Python / FastAPI</li><li>Deploy solutions using Docker and cloud platforms</li><li>Integrate AI systems into client products and workflows</li><li>Optimize performance, accuracy, and scalability</li><li>Debug issues and deliver production-ready systems</li><li>Communicate progress clearly with international clients</li></ul>Required Experience<ul><li>3+ years professional industry experience (real client work, not coursework)</li><li>Proven experience delivering end-to-end AI projects</li><li>Strong Python skills</li><li>Hands-on experience in several of these areas: ML, DL, NLP, CV, LLMs, RAG, Agents etc</li><li>Experience with PyTorch or TensorFlow</li><li>Experience with APIs, FastAPI, Docker, deployment</li><li>Strong problem-solving and system design skills</li><li>Good spoken and written English</li><li>Comfortable speaking with international clients</li></ul>Preferred Skills<ul><li>AWS, GCP, or Azure</li><li>Vector databases (Qdrant, Pinecone, Weaviate)</li><li>OpenCV, Hugging Face, Scikit-learn</li><li>Automation tools and workflow systems</li></ul>Who Should ApplyApply only if you have already built and delivered real AI systems for companies or clients and can work independently with ownership.EducationBachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related field.Job Type: Full-timePay: Rs80,000.00 - Rs130,000.00 per monthExperience:<ul><li>AI Engineer: 3 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI/ML Engineer

Encord

<div>
 
 About Us
 
 
 
 At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data &mdash; and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market.
 
 
 As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
 
 
 We are a talented and ambitious team of 90+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join us our ML team.
 
 
 
 
 The Role
 
 
 
 
 We Are Looking For An Experienced Machine Learning Engineer To Help Us Conduct Research On The State Of The Art Of Computer Vision And Solve Multifaceted Algorithmic Problems. You Will
 
 
 <ul>
 <li>
 Experiment with and adapt latest ML technologies to fit into existing tech stack
 </li>
 <li>
 Solve idiosyncratic statistical, geometric, and engineering problems
 </li>
 <li>
 Work closely with a full stack tech team to assist implementation of research solutions into the product
 </li>
 <li>
 Contribute to hiring additional talent to our rapidly growing team
 
 
 </li>
 </ul>
 The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST &amp; GraphQL, OpenCV, PyTorch, GCP, AWS &amp; CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.
 
 
 
 Qualifications
 
 
 
 The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include:
 
 
 <ul>
 <li>
 Passion for solving ML problems
 </li>
 <li>
 Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras
 </li>
 <li>
 Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning
 
 
 </li>
 </ul>
 
 
 What We Offer
 
 
 
 
 <ul>
 <li>
 Competitive salary and equity in a hyper growth startup.
 </li>
 <li>
 Real opportunities to grow. We&rsquo;re growing insanely fast and you&rsquo;ll have all the opportunities for growth that you can handle.
 </li>
 <li>
 Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach.
 </li>
 <li>
 Flexible PTO to recharge.
 </li>
 <li>
 Annual learning and development budget.
 </li>
 <li>
 18 paid vacation days + federal holidays.
 </li>
 <li>
 Lots of opportunities for travel (all around the US, to London &amp; Europe).
 </li>
 <li>
 Bi-annual off-sites and monthly socials.
 </li>
 <li>
 Health, dental and vision insurance.
 
 
 </li>
 </ul>
 Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
 
 
 Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Machine Learning Engineer, Physical AI

Apple

<div>At Apple, we are dedicated to creating technologies that enrich people's lives. Our teams develop products and experiences that empower millions of users globally, by combining world-class engineering with a deep commitment to innovation, quality, and privacy. 
 
We are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions. 
 
Description 
 
As a Machine Learning Engineer, you will: 
 
<ul><li>Design, build, and maintain large-scale data processing workflows, ensuring efficiency, scalability, and reliability across diverse data sources and modalities.</li></ul> 
<ul><li>Develop and optimize computer vision models that power core product experiences, including areas such as image understanding, multi-view geometry, 3D reconstruction, and visual recognition.</li></ul> 
<ul><li>Partner closely with engineering, research, and data teams to translate product requirements into technical solutions. This includes prototyping models, running large-scale experiments, improving data quality, and ensuring seamless integration of algorithms into production systems.</li></ul> 
<ul><li>Explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations.</li></ul> 

Preferred Qualifications 
 
PhD in a relevant field with research directly related to computer vision, large-scale data systems, or multimodal learning. 
 
Experience designing or evaluating agentic systems, including LLM-powered tools, RAG pipelines, or automated data reasoning workflows. 
 
Familiarity with prompt engineering, tool-use patterns, and LLM model behavior. 
 
Experience deploying ML models at scale, including monitoring, evaluation, and continuous improvement. 
 
Knowledge of data quality assessment, dataset curation methodologies, and evaluation frameworks. 
 
Experience with GPU-based optimization, large-batch training, or distributed training. 
 
Strong multi-functional collaboration skills and the ability to lead technical initiatives. 
 
Minimum Qualifications 
 
Strong foundation in computer vision, including experience with deep learning-based vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. 
 
Hands-on experience developing machine learning models using frameworks such as PyTorch or TensorFlow. 
 
Experience building or optimizing large-scale data pipelines (e.g., distributed ETL, dataset generation, annotation workflows, data validation, or high-throughput processing). 
 
Proficiency in Python or C++ for algorithm development and data processing. 
 
Experience working with distributed computing frameworks (e.g., Spark, Ray, or equivalent). 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Machine Learning Engineer - Computer Vision & Data Systems

Lucid Motors

<div><div><div>Leading the future in luxury electric and mobility</div>
<div>At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.</div>
<div></div>
<div>We plan to lead in this new era of luxury electric by returning to the fundamentals of great design &ndash; where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.</div>
<div></div>
<div>Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.</div></div> 

<div>
Role and Responsibilities
<ul><li>Research, design, implement, optimize and deploy localization and computer vision algorithms for driving and parking features</li></ul>
<ul><li>Implement high-quality automotive grade software code compliant to automotive quality and safety standards</li></ul>
<ul><li>Integrate software stack with the overall perception software stack for running onboard perception system with excellent performance and high fault tolerance</li></ul>
<ul><li>Test, release, and launch the perception algorithm into the production programs</li></ul>
<ul><li>Contribute to the ADAS software roadmap, strategic planning, and development timeline</li></ul>
<ul><li>Contribute to the systems requirements and identify performance metrics for individual components</li></ul>
<ul><li>Conduct on-road ADAS software testing and create test plans to support algorithm development</li></ul> 


Required Qualifications
<ul><li>Bachelors in Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering</li></ul>
<ul><li>Extensive knowledge and applied experience in localization, camera calibration, 3D computer vision, multi-view geometry, SfM/SLAM</li></ul>
<ul><li>Strong foundation in linear algebra, numerical optimization, factor graph representations and statistical estimation theory.</li></ul>
<ul><li>A solid foundation in math and robotics to propose creative solutions for autonomous systems</li></ul>
<ul><li>Proficient in C++ and In-depth knowledge in object-oriented programming, algorithms, data structures, and software design skills</li></ul>
<ul><li>Excellent communication skills and good team player</li></ul> 


Preferred Qualifications
<ul><li>Masters in Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering</li></ul>
<ul><li>3 years related experience Or Ph.D. with no experience.</li></ul>
<ul><li>Experience using optimization libraries such as GTSAM, Ceres, g20, etc.</li></ul>
<ul><li>Experience with real-time operating systems (e.g., QNX, Ubuntu, etc.)</li></ul>
<ul><li>Experience working with different sensor modalities such as GPS/IMU, ultrasonic, wheel odometry, camera, etc.</li></ul>
<ul><li>Experience in working in agile development teams</li></ul></div> 
<div></div>
<div></div>
<div>At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.</div><div><div>

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
</div>
<div>To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.</div></div></div><div></div>

Perception Software Engineer - ADAS

MORSE Corp

<div>
 
 MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding
 
 cutting-edge
 
 
 technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
 
 
 &nbsp;
 
 
 
 
 We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE&rsquo;s AI &amp; ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE&rsquo;s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
 
 
 &nbsp;
 
 
 
 Responsibilities:
 
 
 &nbsp;
 
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 <li>
 
 Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.&nbsp;
 
 
 &nbsp;
 
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 </ul>
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 Use MLOps tools for efficient experiment tracking, data management, and reproducibility
 
 
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 </ul>
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 Write robust, efficient, and maintainable code
 
 
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 </li>
 </ul>
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 Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
 
 
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 </ul>
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 Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
 
 
 &nbsp;
 
 
 </li>
 </ul>
 
 Skills and Requirements:
 
 
 &nbsp;
 
 <ul>
 <li>
 
 US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
 
 
 &nbsp;
 
 </li>
 </ul>
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 Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
 
 
 &nbsp;
 
 </li>
 </ul>
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 Proven experience testing and validating the performance of AI technologies in real-world applications
 
 
 &nbsp;
 
 </li>
 </ul>
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 Proficiency in Python
 
 
 &nbsp;
 
 </li>
 </ul>
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 Experience with cloud platforms (AWS and Azure)
 
 
 &nbsp;
 
 </li>
 </ul>
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 Experience with Docker
 
 
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 </li>
 </ul>
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 Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
 
 
 &nbsp;
 
 </li>
 </ul>
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 Exceptional communication skills and the ability to work well with customers
 
 
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 </li>
 </ul>
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 Understanding of Department of Defense requirements and standards is a plus
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 
 &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 MORSE Corp&rsquo;s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.Employees also receive 10 paid holidays per year. MORSE maintains an &ldquo;open&rdquo; leave policy that does not restrict exempt, regular full-time employees to a specific&nbsp;number of paid sick or vacation days. However, this policy is not an &ldquo;unlimited&rdquo; paid leave policy.&nbsp;
 
 
 Compensation: $90,000 USD - $210,000 USD
 
 
 The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
 
 
 
 &nbsp;
 
 
</div>

Machine Learning Engineer

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
Your work may span a variety of directions, including but not limited to: 
 
Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc) 
 
Strong problem-solving and communication skills. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Machine Learning Engineer, Data and ML Innovation

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