applied machine learning engineer

NVIDIA

<div><div>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people.</div><div></div><div>
Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.</div><div></div><div>
What you'll be doing:</div><ul><li><div>
Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlation</div></li><li><div>
Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.</div></li><li><div>
Responsible for translating the requirements into a data science problem, architect and build solutions.</div></li><li><div>
Test and release of models that integrate with existing machine learning and visualization tools within the organization.</div></li><li><div>
Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.</div></li><li><div>
Optimize the models and algorithms until they reach the desired QOR.</div></li></ul><div></div><div>
What we need to see:</div><ul><li><div>
MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics (or equivalent experience)</div></li><li><div>
4+ years experience in circuit design, VLSI, ASIC, EDA, Silicon analysis is required</div></li><li><div>
Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python, C++</div></li><li><div>
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a definite plus</div></li></ul><div></div><div>
Ways to stand out from the crowd:</div><ul><li><div>
Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)</div></li><li><div>
Effective verbal/written communication, and technical presentation skills</div></li><li><div>
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team</div></li></ul><div></div><div>
NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you!</div><div></div><div>
#LI-Hybrid</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until March 23, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Senior Applied Machine Learning Engineer - VLSI Design

The Hartford

<div>Sr Data Engineer - GE07BE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>The Hartford seeks a driven, team-focused Senior Applied AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Claims Data Science team.</p><p>
The Hartford has developed industry-leading capabilities, automated claims processes to enable smarter decision making. Through AI and ML products, we support a variety of functions including Claims triage, subrogation, fraud detection, and straight-through processing.</p><div>
As a Senior Applied AI Machine Learning Engineer within the Claims Data Science organization, you will play a significant role in delivering these modern and sustainable AI solutions, generating impactful outcomes for the enterprise.<br>
<br>
<b>Our core values</b><br>
<ul><li>We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.</li><li>We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.</li><li>We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.</li><li>We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.</li><li>We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.</li></ul>
<br>
<b>Responsibilities</b><br>
<ul><li>Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.</li><li>Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.</li><li>Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.</li><li>Accountable for design, development and maintenance of Models as Service</li><li>Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.</li><li>Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams</li><li>Delivery of critical milestones for model deployment in the AWS and GCP clouds.</li><li>Adopt and promote MLOps best practices to the Data Science community.</li><li>Proactively monitor cloud usage to drive cost-saving opportunities across cloud accounts and deployed infrastructure.</li></ul>
<br>
<b>Minimum Requirements:</b><br>
<ul><li>Master&rsquo;s degree in related field or 5+ years of equivalent experience in a research or DevOps function.</li><li>Development experience using the AWS suite of Tools, and ideally similar experience on GCP as well</li><li>Familiarity with SageMaker, Streamlit , web security and encryption, credentials and API management tools</li><li>Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.</li><li>Experience building and deploying webservices in a cloud environment.</li><li>Experience building CICD pipeline using Jenkins or equivalent</li><li>Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similar</li><li>Expert-level Github experience, including Github Actions</li><li>Strong object oriented development experience using Python, Java, C#</li><li>Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS platforms such as Redshift, Snowflake or BigQuery</li><li>Experience in end to end model development lifecycle, from ideation through post production monitoring.</li><li>Experience with workflow automation platforms (Apache Airflow, Autosys, similar)</li><li>Experience with Solution Design and Architecture of data pipelines</li><li>Basic understanding of Data Science model development life cycle</li></ul>
<br>
<b>Preferred Skills</b><br>
<ul><li>Fundamentally strong with Data Structures and algorithms.</li><li>Experience working with Docker, Kubernetes and EC2 environment.</li><li>Experience building ML and data pipeline and orchestration services</li><li>Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn, H20,</li><li>Experience working in an Agile framework.</li></ul></div><div><b><br>
Qualifications</b><br>
<ul><li>4+ years of data engineering, data manipulation and application development</li><li>1+ years of experience in the insurance or broader financial services industry</li><li>4+ years SQL development experience</li><li>4+ years Python development experience</li><li>4+ years working with IAC, developing CICD pipelines</li><li>Experience with emerging data-centric technologies such generative AI, Agentic workflows, and embedding LLM&rsquo;s into automated processes</li></ul></div><p><b>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</b></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$117,200 - $175,800<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

Sr Applied AI Machine Learning Engineer - Claims Data Science

Kenai Defense

<p><b>Applied AI Data Engineer</b></p><p>We are a small, mission-focused U.S. defense contractor building advanced analytical capabilities that combine AI, automation, and data-driven decision support. This role is for an Applied AI Data Engineer who can turn ambiguous questions into defensible data assets, modeling workflows, and repeatable evaluation methods. You will work closely with leadership and staff to help translate research-grade ideas into reliable capabilities.</p><p><b>Responsibilities</b></p><ul><li>Design and build data pipelines that ingest, clean, normalize, and structure heterogeneous data for downstream modeling and analytical workflows.</li><li>Develop reusable datasets, features, labels, and representations from both structured and unstructured sources.</li><li>Create and refine methods for segmentation, cohorting, calibration, and scenario-based model evaluation.</li><li>Apply machine learning, NLP, retrieval, embeddings, and related methods to extract signal from noisy real-world data.</li><li>Design benchmarks and validation procedures that measure accuracy, stability, uncertainty, bias, and performance across cohorts and scenarios.</li><li>Prototype simulation-oriented or predictive modeling approaches and iterate based on quantitative results and error analysis.</li><li>Document assumptions, experiment design, data lineage, and model limitations clearly for technical and non-technical stakeholders.</li><li>Operationalize research and modeling outputs into secure, maintainable internal tools.</li></ul><p><b>Core Qualifications</b></p><ul><li>U.S. citizenship required.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in computer science, data science, applied mathematics, statistics, engineering, or a closely related field.</li><li>Strong Python skills and sound software engineering habits.</li><li>Hands-on experience with applied machine learning, data science, NLP, information retrieval, or model evaluation work.</li><li>Experience using Python-based tools such as Pandas, PyTorch, PostgreSQL, Hugging Face, sentence transformers, or similar technologies.</li><li>Ability to work with incomplete, messy, or high-variance datasets and turn them into reliable inputs for analysis and model training.</li><li>Experience designing experiments and evaluation plans, then iterating from measured results.</li><li>Comfort working in Docker- and Git-based development environments and collaborating closely with engineers building production systems.</li><li>Strong written communication, attention to detail, and the ability to operate with autonomy in a lean team.</li></ul><p><b>Preferred Background</b></p><ul><li>Experience with modeling, simulation, probabilistic methods, forecasting, or other techniques for studying complex systems.</li><li>Experience integrating demographic, geographic, survey, event, economic, or other population-scale datasets into analytical workflows.</li><li>Familiarity with retrieval systems, vector databases, semantic search, graph-based retrieval, or graph/RAG experimentation.</li><li>Exposure to model calibration, sensitivity analysis, fairness assessment, and representativeness challenges in real-world data.</li><li>Academic, laboratory, or research experience in computer science, data science, applied statistics, computational social science, or a related quantitative field.</li></ul><p><b>To Apply:</b></p><ul><li>Send a resume to Joshua Riley, Director of Program Management at joshua@kenaidefense.com</li></ul><p>Job Type: Full-time</p><p>Pay: $70,000.00 - $120,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Application Question(s):</p><ul><li>Are you a U.S. Citizen?  (U.S. Citizenship is required for this position)</li><li>Do you have a criminal record</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Work Location: In person</p>

Applied AI Data Engineer

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10000 applied machine learning engineer jobs Near Me

Senior Applied Machine Learning Engineer - VLSI Design

Sr Applied AI Machine Learning Engineer - Claims Data Science

Sr Applied AI Machine Learning Engineer - Claims Data Science

Sr Applied AI Machine Learning Engineer - Claims Data Science

Sr Applied AI Machine Learning Engineer - Claims Data Science

Applied AI Data Engineer

Applied AI Data Engineer