deep learning engineer

Oscar

<div>
 <p>
  <strong>
   Title:
  </strong>
  Senior Machine Learning Engineer / Applied Researcher
  <br/>
  <strong>
   Location:
  </strong>
  San Jose, CA
  <br/>
  <strong>
   Salary:
  </strong>
  $250K-$300K
 </p>
 <p>
  A cutting-edge AI startup is hiring a Senior Machine Learning Engineer to help build and advance their core machine learning systems. The company is continuing to expand its platform and is looking for a strong engineer who can contribute both to research exploration and hands-on model development. This is a startup environment where engineers take real ownership over their work, collaborate closely with leadership, and play a direct role in how the platform evolves as the company scales.
 </p>
 <p>
  This role blends applied research with hands-on development, with roughly 30% focused on reading and publishing research and 70% focused on building production ML systems. You will develop and improve models across areas such as deep learning, LLMs, reinforcement learning, and emerging multimodal systems while translating research insights into production implementations. Engineers in this role own end-to-end initiatives, working on new problem domains and building systems from 0 to 1 while helping guide technical direction for the broader team.
 </p>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience in Machine Learning, Applied Research, or similar roles
  </li>
  <li>
   MS or PhD in Computer Science, or related technical fields
  </li>
  <li>
   Strong Python experience building and implementing ML models
  </li>
  <li>
   Experience with Deep Learning frameworks and modern LLM systems
  </li>
  <li>
   Experience reading and publishing research papers and/or translating research into production systems
  </li>
  <li>
   Exposure to Multimodal systems, AI Safety or Red Teams, Reinforcement Learning, or similar advanced ML techniques a plus
  </li>
 </ul>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <ul>
  <li>
   Equity
  </li>
  <li>
   Bonus Structure
  </li>
  <li>
   Paid Time Off
  </li>
  <li>
   Medical, dental, and vision coverage
  </li>
  <li>
   Opportunity to create lasting impact within a growing organization
  </li>
  <li>
   Hybrid working schedule
   <br/>
  </li>
 </ul>
 <strong>
  Desired Skills and Experience
  <br/>
  <br/>
 </strong>
 Python
 <br/>
 Machine Learning
 <br/>
 LLM
 <br/>
 Deep Learning
 <br/>
 Research
 <br/>
 <br/>
 <p>
  Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.
 </p>
</div>


Senior Machine Learning Engineer / Applied Researcher

Technology Ventures

<div></div><div><div><div><div><div>Reston, VA
</div><p>Contract
</p><p>Mar 26, 2026
</p></div></div></div><div><p>AI Engineer -</p>
<b>Job Description:</b><br>
Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.<br>
Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.<br>
Build and maintain AI pipelines, from data processing to model deployment.<br>
Analyze complex datasets to uncover insights and improve model performance.<br>
Ability to analyze complex problems and develop effective AI-driven solutions.<br>
Deploy AI solutions on cloud platforms such as AWS.<br>
Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.<br>
Deep understanding of deploying AI applications within a CICD environment, specifically AWS.<br>
<br>
Preferred qualifications:<br>
Experience with MLOps tools (e.g., MLflow, Kubeflow).<br>
Knowledge of big data technologies (Spark, Hadoop, Databricks).<br>
Background in NLP, computer vision, or other advanced AI techniques.<br>
Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).<br>
<br>
Required qualifications:<br>
Strong programming skills in Python, R, or Java.<br>
Hands-on experience with machine learning algorithms and frameworks.<br>
Familiarity with major cloud platforms for AI deployment.<br>
Strong analytical and problem?solving skills.<br>
Solid foundation in mathematics and statistics.</div></div>

Data/Modeling Engineer IV (AI Engineer)

Meds IT Nexus

<p>We are seeking a skilled AI Engineer to design, develop, and deploy AI-driven solutions that solve</p><p>real business problems. The ideal candidate will work closely with software engineers, product</p><p>managers, and stakeholders to build scalable, secure, and high-performance AI systems.</p><p><b>Key Responsibilities</b></p><p>Design, develop, and deploy AI/ML models for production use</p><p>Work with structured and unstructured data (text, images, logs, etc.)</p><p>Implement and fine-tune machine learning, deep learning, and NLP models</p><p>Integrate AI models into web or mobile applications via APIs</p><p>Optimize models for performance, accuracy, and scalability</p><p>Monitor model performance and retrain models as needed</p><p>Ensure data security, privacy, and ethical AI practices</p><p>Document models, workflows, and technical decisions</p><p><b>Required Skills &amp; Qualifications</b></p><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field</p><p>Strong proficiency in Python</p><p>Hands-on experience with Machine Learning &amp; Deep Learning</p><p>Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn</p><p>Knowledge of NLP, Computer Vision, or Generative AI (LLMs)</p><p>Experience working with APIs and integrating AI into applications</p><p>Familiarity with databases (SQL/NoSQL)</p><p>Understanding of model evaluation and performance metrics</p><p>Preferred / Nice-to-Have</p><p>Experience with LLMs (OpenAI, HuggingFace, LangChain, RAG)</p><p>Experience with MLOps, model deployment, and monitoring</p><p>Cloud experience (AWS, Azure, GCP)</p><p>Experience in chatbot development or AI automation</p><p>Knowledge of data pipelines and ETL processes</p><p><b>What We Offer</b></p><p>Opportunity to work on cutting-edge AI solutions</p><p>Collaborative and growth-oriented environment</p><p>Competitive compensation</p><p>Learning and development opportunities<br/><b>Job Rewards and Benefits:</b></p><p>1. Paid Leaves</p><p>2. HR Bonus</p><p>3. Inflation Bonus</p><p>4. Promotion</p><p>5. Increments</p><p>6. Medical (TBD)</p><p>7. Employee Equity Funds Program (EEFP)</p><p>8. Saturday and Sunday Off</p><p>9. Transportation allowances only for female staff</p><p>10. Complementary Food (Dinner) &amp; Tea/Green Tea (Two times)</p><p>Job Type: Full-time<br/>Timings: <b>5:30pm - 2:30 am</b></p><p>Work Location: In person</p>

Ai Engineer

Shields Group Search

<div>
 <p>
  <strong>
   Machine Learning Engineer: LLM Interpretability &amp; Systems
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  San Francisco, CA - 5 days a week onsite
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Our Client &amp; The Mission
  </strong>
 </p>
 <p>
  We are partnering with a San Francisco-based AI company pushing open-source Large Language Models beyond what most teams think is possible. They do not just prompt models. They open the black box. By leveraging cutting-edge interpretability techniques (XAI), they manipulate model internals to push open-source models to rival and beat Frontier models in both capability and cost-efficiency.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   They are primarily looking for a highly driven Machine Learning Engineer who can take complex, cutting-edge XAI research and translate it into robust, deployable production systems.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  This is not a prompt engineering or RAG-wrapper position. You will be operating deep within the stack, interacting directly with model weights, activations, and architectures. Your mandate is simple but exceptionally difficult: state exactly how a model can be improved for a specific purpose using interpretability, and then build the system to do it.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Will Do:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Translate Research to Production:
   </strong>
   Take and improve the latest papers in mechanistic interpretability, activation engineering, and representation engineering and turn them into scalable production code.
  </li>
  <li>
   <strong>
    Model Surgery:
   </strong>
   Apply techniques like control vectors, activation patching, and feature extraction to fundamentally alter and enhance model capabilities.
  </li>
  <li>
   <strong>
    Maximize Open-Source:
   </strong>
   Squeeze every ounce of performance out of open-weight models to make them hyper-efficient and highly competitive against closed-source Frontier models.
  </li>
  <li>
   <strong>
    Build the Pipeline:
   </strong>
   Design and implement the infrastructure required to deploy these modified, highly-optimized models into production environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who You Are
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Deep Technical Fundamentals:
   </strong>
   You possess a rigorous understanding of Transformer architectures, PyTorch internals, and the mathematical foundations of deep learning.
  </li>
  <li>
   <strong>
    Beyond the API:
   </strong>
   You have hands-on experience training, fine-tuning, and dissecting LLMs. You understand the difference between superficial augmentation and structural model improvement.
  </li>
  <li>
   <strong>
    High Agency &amp; Conviction:
   </strong>
   You do not wait for tasks to be assigned. You identify bottlenecks, propose deeply technical solutions, and execute them with absolute conviction.
  </li>
  <li>
   <strong>
    Mission-Obsessed:
   </strong>
   You are fundamentally aligned with the mission to democratize state-of-the-art AI capabilities through open-source optimization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Anti-Persona (Who this role is NOT for)
  </strong>
 </p>
 <p>
  If your primary experience involves calling the OpenAI API, chaining together prompts with LangChain, or building standard RAG pipelines without touching the underlying model infrastructure, this role is not a fit. We need someone who can go into the matrix, not just interact with the interface.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Aggressive Equity &amp; Compensation:
   </strong>
   Highly competitive salaries and significant equity stakes to incentivize the hard work required. $180-260K, 0.5-1% equity
  </li>
  <li>
   <strong>
    Impact:
   </strong>
   Pioneering work at the intersection of XAI and production engineering, directly shaping the capabilities of the core product.
  </li>
  <li>
   <strong>
    Autonomy:
   </strong>
   A high-trust environment where technical conviction is valued and supported.
  </li>
 </ul>
</div>


Machine Learning Engineer

OOP Technologies

<p><b>Job Title: AI Engineer</b><br/><b>Company:</b> OOP Technologies<br/><b>Location:</b> Iqbal Town, Lahore<br/><b>Shift Timing:</b> 9:00 PM &ndash; 6:00 AM (Night Shift)<br/><b>Experience Required:</b> 2 to 4 Years</p><p><b>Job Description:</b><br/>OOP Technologies is seeking a skilled and motivated AI Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions to support business operations and enhance product capabilities. You will work on real-world applications involving machine learning, data analysis, and automation, particularly for international (USA-based) projects.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Design and implement AI solutions for automation and data-driven decision-making</li><li>Work with large datasets, perform data preprocessing, and feature engineering</li><li>Integrate AI models into production systems and APIs</li><li>Collaborate with cross-functional teams including developers, analysts, and project managers</li><li>Monitor model performance and continuously improve accuracy and efficiency</li><li>Stay updated with the latest advancements in AI and emerging technologies</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li><li>2&ndash;4 years of hands-on experience in AI/ML development</li><li>Strong knowledge of Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>Experience with data analysis, NLP, or computer vision is a plus</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred</li><li>Strong problem-solving and analytical skills</li><li>Ability to work in a fast-paced night shift environment</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary package</li><li>Opportunity to work on international (USA-based) projects</li><li>Career growth and learning opportunities</li><li>Supportive and professional work environment</li></ul><p><b>Apply Now:</b><br/>Send your CV to: hr.ooptechnologies@gmail.com<br/>WhatsApp: 0323-7846800</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs350,000.00 per month</p><p>Work Location: In person</p>

AI Engineer

MANTECH

<div><p><b>MANTECH</b> seeks a highly skilled and passionate <b>AI/Machine Learning Engineer</b> to join our innovative technology team. In this role, you will help bridge the gap between research and engineering by designing, building, and deploying machine learning solutions that address complex mission challenges. You will contribute to the development of generative AI applications, enhance existing pipelines, and support the growth of junior engineers.</p><p><b><br>
Responsibilities include, but are not limited to:</b></p><ul><li><b>
Model Development:</b> Design, develop, and train advanced machine learning and deep learning models, including LLMs, CNNs, or Transformers, tailored to specific business applications.</li><li><b>
Evaluation &amp; Monitoring:</b> Develop metrics to evaluate model performance and monitor deployed models to prevent decay or drift.</li><li><b>
Collaboration:</b> Work closely with program areas and software engineers to integrate AI capabilities into our core products.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related technical field, or High School Diploma and 4+ years of relevant experience</li><li>
Experience programming in Python</li><li>
Experience developing and training machine learning or deep learning models</li><li>
Understanding of modern ML frameworks and tools</li><li>
Understanding of model evaluation, validation, and monitoring techniques</li></ul><p><b><br>
Clearance Requirements:
</b></p><ul><li>Must have an active/current TS/SCI with polygraph clearance</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Must be able to remain in a stationary position at least 50% of the time.</li></ul></div><p></p>

AI Machine Learning Engineer

Ascendion

<div><div><div><h1 class="jobSectionHeader"><b>About Ascendion
</b></h1><p>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
</p><p><b>Ascendion | Engineering to elevate life
</b></p><p>We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
</p><ul><li>Build the coolest tech for the world&rsquo;s leading brands
</li><li>Solve complex problems &ndash; and learn new skills
</li><li>Experience the power of transforming digital engineering for Fortune 500 clients
</li><li>Master your craft with leading training programs and hands-on experience
</li></ul><p>Experience a community of change makers!
</p><p>Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.<br>
</p></div><div><br>
<div><h2 class="jobSectionHeader"><b>About the Role<br>
</b></h2><p></p><p>Serves as a senior technical leader responsible for driving the design, development, and deployment of advanced AI solutions to solve complex business challenges. Brings deep expertise across domains, including computer vision, natural language processing, recommendation systems, and predictive analytics, while shaping strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives.
</p><p>This is a hybrid role, requiring candidates to be within a commutable distance of Irvine, CA, or Plano, TX<br>
</p><p></p><h2 class="jobSectionHeader"><b>Job Title
</b></h2><p>AI/Machine learning Engineer
</p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li>Designs, develops, and delivers solutions that meet business line and enterprise requirements.
</li><li>Serves as a recognized authority and internal expert in applied AI, shaping the organization&rsquo;s technical direction and strategy.
</li><li>Oversees large, complex, and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
</li><li>Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
</li><li>Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
</li><li>Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
</li><li>Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
</li><li>Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
</li><li>Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
</li><li>Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
</li><li>Performs other duties and projects assigned.
</li></ul><h2 class="jobSectionHeader"><b>Minimum Qualifications
</b></h2><ul><li>5+ years of software engineering experience (C#, Python, Java, or similar; C# preferred)
</li><li><br>
2+ years working with Python and machine learning frameworks (PyTorch, TensorFlow, etc.)
</li><li>Hands-on experience with LLMs, Generative AI, or agent-based frameworks
</li><li><br>
Proven delivery of scalable machine learning/AI solutions on Azure, AWS, or GCP
</li><li>Strong foundation in machine learning, deep learning, data structures, and optimization
</li><li><br>
Experience with MLOps tools (Docker, Kubernetes, MLflow)
</li><li>Ability to translate AI research into enterprise-grade solutions
</li><li>Strong problem-solving, communication, and stakeholder management skills
</li><li>Banking mortgage experience is highly preferred
</li><li>Bachelor&rsquo;s in CS/AI/machine learning required; advanced degree preferred
</li><li><br>
Nice to have: transformers, edge AI, federated learning, or open-source contributions
</li></ul><h2 class="jobSectionHeader"><b>Desired Qualifications
</b></h2><ul><li>Experience with transformers, edge AI, federated learning, or real-time inference systems.
</li><li>Track record of contributions to open-source AI projects, patents, or published research.
</li><li>Proficiency with productivity tools such as MS Office and collaboration platforms (Word, Excel, PowerPoint, Outlook, Teams).
</li></ul><h2 class="jobSectionHeader"><b>Location
</b></h2><p>Irvine, CA - 92618<br>
</p></div></div><p></p><p><b>Salary and Other Compensation: The </b>annual salary for this position is between $150,000 - $200,000 annually. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
</p><p><b>Benefits: </b>The company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance], [dental insurance], [vision insurance], [401(k) retirement plan], [long-term disability insurance], [short-term disability insurance] [5 personal days accrued each calendar year]. The paid time off benefits meet the paid sick and safe time laws that pertain to the city/state. [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
</p><h2 class="jobSectionHeader"><b>Want to change the world? Let us know.
</b></h2><p>Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!</p></div></div><div></div>
<br><div><div><h4 class="jobSectionHeader"><b>Preferred Skills
</b></h4><div><div>Generative AI Expertise
<ul><li><div>Cloud &amp; Scalable AI Deployment
</div></li><li><div>Docker
</div></li><li><div>Kubernetes
</div></li><li><div>Python
</div></li><li><div>C#
</div></li><li><div>or Java
</div></li><li><div>Azure
</div></li><li><div>AWS
</div></li><li><div>GCP
</div></li><li><div>machine learning
</div></li><li><div>deep learning
</div></li><li><div>LLMs
</div></li><li><div>AI
</div></li><li><div>Machine Learning
</div></li></ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job details
</b></h4><div><div><h6 class="jobSectionHeader"><b>Job ID
</b></h6><p>331942
</p></div><div><h6 class="jobSectionHeader"><b>Job Requirements
</b></h6><p>AI/ML Engineer
</p></div><div><h6 class="jobSectionHeader"><b>Location
</b></h6><p>Irvine, California, US
</p></div><div><h6 class="jobSectionHeader"><b>Recruiter
</b></h6><p>Priya
</p></div><div><h6 class="jobSectionHeader"><b>Email
</b></h6><p>priya.abraham@ascendion.com
</p></div></div></div><div><h4 class="jobSectionHeader"><b>About Ascendion
</b></h4><div><h6 class="jobSectionHeader"><b>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
</b></h6><p>Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.</p></div></div></div>

AI/ML Engineer

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