senior product development scientist

Apple

Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them. 
 
Description 
 
The Human-centered AI, ML Data Quality Operations team is looking for a Senior Applied Scientist to join our growing team. We are building the systems and methodologies that make AI evaluation trustworthy, and scalable - directly shaping how Apple develops and validates AI across products and services. In this role, you will develop novel, scalable quality control solutions, working closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. Your work will span the full lifecycle of quality assurance for AI and human judgments - from real-time validation and human-verified ground truth generation, to root-cause analysis that turns disagreements into corrective action. This role demands fluency across research thinking and engineering execution - you will prototype, validate, and ship. A strong point of view on when not to use a model or agent is as valued here as the ability to build one. 
 
&quot;,&quot;responsibilities&quot;:&quot;Design and implement scalable ground truth generation pipelines across varied task types, annotation modalities, and cold start conditions 
 
Build and maintain real-time monitoring systems that detect drift, distribution shifts, and quality degradation as they emerge across live evaluation and annotation pipelines. 
 
Design calibration frameworks that periodically re-anchor LLM evaluators against human-verified gold sets, correcting drift before it compounds. 
 
Build root-cause analysis tooling that surfaces disagreement patterns between automated and human judgments, and feeds findings directly into annotator training and guideline refinement. 
 
Partner closely with downstream users of these systems -ML teams, LLM-as-a-Judge (evaluator) developers, annotators - to ground design decisions in real feedback and usage patterns, not just architecture. 
 
Communicate findings and recommendations clearly to both technical and non-technical stakeholders 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, or a related field 
 
Experience in designing systems or tooling that are configurable and extensible by practitioners who did not build them 
 
Strong communication skills with the ability to influence technical direction across cross-functional teams 
 
Demonstrated passion for leveraging AI to improve work efficiency and scale 
 
Minimum Qualifications 
 
5+ years of industry experience in applied science or machine learning, with demonstrated experience building or operating production-grade evaluation, annotation, or quality-assurance pipelines. 
 
Hands-on experience designing ground truth generation pipelines across varied task types and annotation modalities, including cold-start scenarios with limited existing data. 
 
Experience building real-time monitoring or anomaly/drift detection systems for live data or ML pipelines. 
 
Working knowledge of evaluation methodology for generative AI - including LLM-as-a-judge design, meta-evaluation, failure mode analysis, and calibration/reference-guided grading techniques 
 
Strong software engineering fundamentals and proficiency in Python and relevant ML frameworks, with production experience building, deploying, and monitoring LLM-based pipelines and agents. 
 
Demonstrated ability to work directly with downstream users/stakeholders to incorporate feedback into system design, and to communicate findings clearly to both technical and non-technical audiences. 
 
MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. 
 
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 $142,300 and $263,300, 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.

Sr. Applied Scientist, AI Evaluation & Quality Systems

NVIDIA

<div>At NVIDIA, we have been at the forefront of transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Our legacy of innovation is fueled by our exceptional technology and amazing team of people. We are seeking a creative and experienced Senior Board Product Development Engineer to join our Operations Engineering team. This role is pivotal in ensuring the successful release of NVIDIA&rsquo;s board and system products to high-volume manufacturing.
What you'll be doing:<ul><li>
Product Release to Manufacturing: Play a key role in releasing NVIDIA-designed board and system products to high-volume manufacturing.</li><li>
Early Planning and Coordination: Represent Product Operations Engineering during early manufacturing test solution planning and align stakeholders on production release requirements.</li><li>
Define scalable manufacturing test architectures, methodologies, processes, and system requirements for board- and server-level products across ARM and x86 platforms.</li><li>
Develop and qualify test strategies, fixtures, and equipment for new product features, validating hardware test solutions for production deployment.</li><li>
Partner with Mechanical, Thermal, Test, Hardware Design, Software, and Quality Engineering teams to drive DFX initiatives and factory release requirements.</li><li>
Support factory builds and production ramps by debugging board- and system-level issues, collaborating with internal teams and external manufacturing partners.</li><li>
Monitor end-to-end manufacturing test verification from board to system level, analyze production data, identify risks, and drive corrective actions to ensure release readiness.</li><li>
Drive continuous improvement through new manufacturing test technologies, process optimization, international factory supports, and mentoring/developing engineering talents.</li></ul>
What we need to see:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in electrical engineering or computer engineering &ndash; or equivalent experience</li><li>
8+ years of relevant experience.</li><li>
Extensive experience in hardware design analysis, prototype bring-up, failure verification, and manufacturing test support.</li><li>
Extensive experience in high-volume board and system manufacturing process verification.</li><li>
Strong understanding of board and system manufacturing test processes, quality systems, and risk mitigation strategies.</li><li>
Proven ability to work effectively with cross-functional teams and communicate complex technical information clearly.</li><li>
Demonstrated leadership skills with a track record of mentoring and developing engineering talent.</li><li>
Strong analytical and problem-solving skills to identify and resolve manufacturing issues.</li><li>
Able to travel to other countries for on-site factory product Builds supports （6 to 8 weeks per year）</li></ul>
Ways to stand out from the crowd:<ul><li>
Master&rsquo;s degree in engineering.</li><li>
Ability to think creatively and propose innovative solutions to manufacturing challenges.</li><li>
Meticulous attention to detail to ensure high-quality production releases.</li><li>
Proactive in identifying potential issues and driving solutions before they impact production.</li></ul>
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until September 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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>

Senior Board Product Development Engineer

VINCI

<div>Job Title: Senior Data Scientist
Reporting to: IT Business Solutions Manager
Role purpose
The Senior Data Scientist will help the organisation make better use of its data. The role will develop practical analytics, machine learning and AI solutions that support decision-making, improve business performance and create measurable value.
Working closely with operational, finance, HR and our Regional teams, the Senior Data Scientist will turn business data into clear insight, predictive models and useful digital tools. The role will also support the development of the Omexom enterprise data lake and help put secure, reliable and well-governed data practices in place across the business.
Responsibilities &amp; Duties<ul><li>Design, build and deploy machine learning and AI models that solve real business problems.</li><li>Use data to support forecasting, planning, and better decision-making.</li><li>Develop analytical solutions to support project delivery, workforce planning, revenue performance and operational efficiency.</li><li>Support the design and development of the Omexom enterprise data lake.</li><li>Help define how data is collected, stored, transformed and used across different business systems.</li><li>Create clear standards and best practice for data science, analytics and AI projects.</li><li>Work with business units to define data ownership, data quality and accountability.</li><li>Identify opportunities to get more value from Omexom&rsquo;s data assets.</li><li>Review emerging AI technologies and recommend practical use cases to add business value.</li><li>Support high availability, resilience and business continuity for key data services.</li><li>Enable the safe deployment of AI and machine learning models across the organisation.</li></ul>
Qualifications and experience
The jobholder must be a results focused self-starter with the enthusiasm, motivation and initiative to succeed in this role, possessing:<ul><li>Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related discipline.</li><li>Minimum of three years&rsquo; experience in data science, data analytics, machine learning or data engineering roles.</li><li>Strong experience developing production-grade machine learning models and analytical solutions.</li><li>Proven ability to deliver business value through advanced analytics and data-driven insight.</li><li>Experience working with large, complex structured and unstructured datasets.</li><li>Experience leading data science projects and supporting or mentoring colleagues.</li><li>Experience leading teams and providing coaching and mentorship.</li></ul>
Desirable:<ul><li>Master&rsquo;s degree in Data Science, Artificial Intelligence, Machine Learning, Statistics or a related discipline.</li><li>PhD in a relevant analytical, scientific or technical discipline.</li></ul>
Technical Skills<ul><li>The role requires strong technical expertise in Python, SQL, API integrations, and developing data and analytics solutions that can grow with the business. Candidates should also have experience with modern AI technologies, including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), deep learning, and machine learning.</li></ul>
Security<ul><li>The Senior Data Scientist will be responsible for handling data securely and ethically. This includes protecting data through encryption, applying secure AI and machine learning practices, and ensuring that solutions comply with relevant regulations and security standards, including GDPR, ISO 27001, and Cyber Essentials Plus.</li></ul>
Soft Skills<ul><li>Strong communication skills with the ability to explain technical concepts clearly to non-technical stakeholders.</li><li>Analytical and practical problem-solving mindset, with a focus on continuous improvement and business value.</li><li>Ability to manage competing priorities, work under pressure and deliver high-quality outcomes.</li></ul>
This role is an opportunity to help shape the future of data, analytics and AI within Omexom UK &amp; Ireland. The successful candidate will play an important part in the organisation&rsquo;s digital transformation journey by delivering practical solutions that improve operations, support commercial performance and create long-term business value.
Values
In line with Omexom&rsquo;s values, the jobholder must have the following qualities:
Team Spirit &amp; Generosity &ndash; able to work effectively within and contribute to the Omexom team to deliver results, provide support and drive performance.
Trust and Empowerment &ndash; enjoy managing their responsibilities and time to ensure work is completed efficiently and professionally.
Integrity and Responsibility &ndash; enjoy taking responsibility for their duties and managing these effectively to ensure efficient high quality results.
Innovation &amp; Entrepreneurship &ndash; continually strive to improve processes and introduce new initiatives to improve efficiency.</div>

Senior Data Scientist

Carnegie Mellon University

<div>Senior Autonomous Systems Research Scientist
As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we guarantee systems respond appropriately in critical scenarios? How can we employ collaborative autonomy to maximize mission objectives? What is the appropriate level of autonomy to enable a specific mission?
The AI for Autonomy Lab within the SEI&rsquo;s AI Division is recruiting a Senior Autonomous Systems Research Scientist who has a passion for solving complex problems in real-world, mission-critical environments to tackle questions like these. The lab is focused on the lifecycle of AI-enabled autonomous systems and helping our sponsors apply AI appropriately to increase system effectiveness without adding unacceptable risk.
Position Summary: As a Senior Autonomous Systems Research Scientist you will develop a research agenda and lead/conduct research in support of critical U.S. government needs.
The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas:
<ul><li>Applied Machine Learning and AI: Research and implement machine learning principles, techniques, and architectures on autonomous systems in varying domains (e.g., air, sea, land).</li>
<li>UxV Autonomy: Create tools and techniques for evaluating and explaining AI-enabled autonomous system performance.</li>
<li>Collaborative Autonomy: Study AI approaches to motion planning, task planning, mission planning, and command and control to enable effective, resilient, and scalable teaming.</li>
<li>Counter-Autonomy: Investigate system development approaches and methods for mitigating vulnerabilities associated with the inclusion of machine learning in autonomous systems.</li>
<li>Modeling and Simulation: Use simulation to develop techniques for data-driven evaluation of real-world learning-based autonomous systems.</li>
</ul>Duties:
<ul><li>Hands-on Research: Lead novel research in applied machine learning and robotics.</li>
<li>Solution Development: Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.</li>
</ul><ul><li>Collaboration: Actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.</li>
<li>Mentoring: Mentor and teach junior staff, lead technical sessions, and contribute to the establishment of technical norms for the Lab.</li>
<li>Intellectual Curiosity: Maintain awareness of the latest in AI-enabled autonomous systems, especially as it pertains to National Security use cases.</li>
<li>Technical Communication : Develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals.</li>
</ul>Knowledge, Skills, and Abilities
<ul><li>A published track record of conducting machine learning and robotics research and applying scientific methods</li>
<li>Experience leading research projects and collaborating across research teams and stakeholders</li>
<li>Strong written and verbal communication skills; demonstrated ability to convey complex technical ideas to diverse audiences</li>
<li>Experience writing and delivering successful research proposals to funding agencies and leading the resulting projects</li>
<li>Experience with programming languages such as Python, C/C++, and other pertinent languages and frameworks</li>
<li>Familiarity with state of practice, emerging trends and opportunities in industry and government focusing on maritime, land, or space domains</li>
<li>Experience working with Department of War and Intelligence Community preferred</li>
</ul>Requirements
<ul><li>BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.</li>
<li>You will be subject to a background investigation and must be able to obtain and maintain a Department of War security clearance.</li>
<li>This position is based onsite 5 days per week at SEI's offices in either Pittsburgh, PA or Arlington, VA.</li>
<li>Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Arlington, sponsor sites, conferences, and offsite meetings.</li>
</ul>Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff &ndash; Regular
Full time/Part time
Full time
Pay Basis
Salary</div>

Senior Autonomous Systems Research Scientist

Salt

<div>
 
 
 Lead Data Scientist &ndash; AI Lab | Fintech
 
 
 
 
 Location: Abu Dhabi
 
 
 
 
 
 
 My client is looking for a
 
 Lead Data Scientist
 
 to join a newly established
 
 AI Lab.
 
 This is a high-impact opportunity for a technically strong, hands-on Data Scientist who can take AI and machine learning solutions from
 
 concept through to production
 
 .
 
 
 
 
 
 The ideal candidate will have a strong
 
 Computer Science / technical academic background
 
 and be a genuine
 
 full-stack Data Scientist-
 
 someone who can write production-ready code, build models, work across the engineering stack and deploy solutions independently, rather than relying on separate teams to operationalise their work.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the design, development and deployment of advanced
 
 AI and machine learning solutions
 
 across banking use cases.
 </li>
 <li>
 Own the full lifecycle from
 
 problem definition, data preparation and modelling through to deployment, monitoring and optimisation
 
 .
 </li>
 <li>
 Develop production-grade solutions using
 
 Python, SQL and modern ML/AI frameworks
 
 .
 </li>
 <li>
 Build and productionise
 
 GenAI, LLM, RAG, NLP and agentic AI solutions
 
 where relevant.
 </li>
 <li>
 Work closely with Data Engineers, Software Engineers and Product teams to take AI solutions into production.
 </li>
 <li>
 Develop robust ML pipelines, APIs, model-serving components and MLOps processes.
 </li>
 <li>
 Establish best practices around model deployment, testing, monitoring, reproducibility and responsible AI.
 </li>
 <li>
 Evaluate emerging AI technologies and identify opportunities to create tangible value for the bank.
 </li>
 <li>
 Mentor Data Scientists and contribute to the technical direction of the new AI Lab.
 </li>
 </ul>
 
 
 
 
 
 Ideal Candidate
 
 
 <ul>
 <li>
 
 8+ years' experience
 
 in Data Science, Machine Learning, AI Engineering or a related technical field.
 </li>
 <li>
 Bachelor's or Master's degree in
 
 Computer Science, AI, Machine Learning, Mathematics, Statistics, Engineering or another highly quantitative discipline
 
 .
 </li>
 <li>
 Strong hands-on
 
 Python
 
 development skills and excellent SQL.
 </li>
 <li>
 Proven track record of taking
 
 machine learning / AI models into production
 
 .
 </li>
 <li>
 Strong understanding of software engineering principles including
 
 Git, APIs, testing, CI/CD and containerisation
 
 .
 </li>
 <li>
 Experience with cloud platforms such as
 
 AWS, Azure or GCP
 
 .
 </li>
 <li>
 Experience with modern ML/AI technologies such as
 
 PyTorch, TensorFlow, Hugging Face, LLMs, RAG, vector databases and agentic AI
 
 is highly desirable.
 </li>
 <li>
 Banking, financial services or fintech experience would be advantageous.
 </li>
 </ul>
 
 
 
 
 
 What Will Differentiate You
 
 
 
 My client is particularly interested in
 
 "full-stack" Data Scientists
 
 who are equally comfortable experimenting with models and engineering them into scalable production systems.
 
 
 
 Strong preference will be given to candidates with a rigorous Computer Science or technical background over candidates whose background is primarily business, commercial or MBA-focused.
 
 
 
 
 
 
 The successful candidate will be a
 
 builder
 
 -technically autonomous, hands-on and capable of taking an AI solution from an initial idea all the way through to production.
 
 
 
 
 
 *** Only successful candidates will be contacted ***
 
</div>

Lead Data Scientist

InCommon

<div>
 
 
 Title: Senior Machine Learning Engineer
 
 
 
 
 Bangalore| India
 
 
 
 InCommon is hiring for a US based healthtech company on a mission to provide dignified, high quality care to patients with complex health needs. The company delivers primary, behavioral, and social care through a combination of at-home and virtual care, supported by 24/7 access to dedicated care teams. Powered by technology, evidence-based care models, and strong partnerships across the healthcare ecosystem, the company is focused on improving health outcomes and addressing long standing gaps in care.
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 <ul>
 <li>
 As a Senior Machine Learning Engineer, you will help them transform healthcare through AI.
 </li>
 <li>
 Mission-critical, be part of our growing team (and company).
 </li>
 <li>
 Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices
 </li>
 <li>
 Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience
 </li>
 <li>
 Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experience:
 
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps
 </li>
 <li>
 Graduate degree in Computer Science, Statistics, or related quantitative field
 </li>
 <li>
 Strong proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications
 </li>
 <li>
 Developing and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)
 </li>
 <li>
 Healthcare experience is valuable but not required
 </li>
 </ul>
 
 
 
 
 
 You have hands-on experience in:
 
 
 <ul>
 <li>
 Developing and implementing modern LLM models and transformers and deploying ML models in a production environment
 </li>
 <li>
 Designing and implementing best practices for model versioning, experimentation, and reproducibility
 </li>
 <li>
 Continuously improving our ML infrastructure for stability, scalability, observability, and security
 </li>
 <li>
 Developing internal tooling and libraries to enhance ML workflow efficiency
 </li>
 <li>
 Designing and implementing best practices for model versioning, experimentation, and reproducibility
 </li>
 <li>
 Experience improving ML infrastructure for stability, scalability, observability, and security
 </li>
 <li>
 Developing internal tooling and libraries to enhance ML workflow efficiency
 </li>
 <li>
 Experience with tools like AWS SageMaker or AWS Bedrock
 </li>
 </ul>
 
 
 
 
 
 Responsibilities will include:
 
 
 
 Technical Leadership
 
 <ul>
 <li>
 Drive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluation
 </li>
 <li>
 Design and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performance
 </li>
 <li>
 Help establish data engineering best practices and promote standards that enhance data accessibility across teams
 </li>
 </ul>
 
 Data Strategy &amp; Architecture
 
 <ul>
 <li>
 Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics
 </li>
 <li>
 Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity
 </li>
 <li>
 Assemble large, complex data sets that address functional and strategic requirements
 </li>
 </ul>
 
 Collaboration &amp; Enablement
 
 <ul>
 <li>
 Partner with other teams such as; Executive, Product, Clinical, Data, and Design
 </li>
 <li>
 Identify, design, and implement process improvements to enhance efficiency and scalability
 </li>
 <li>
 Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
 </li>
 </ul>
 
 Quality &amp; Innovation
 
 <ul>
 <li>
 Develop efficient, reliable AI pipelines with strong monitoring and observability
 </li>
 <li>
 Navigate and optimize our data ecosystem to drive meaningful insights
 </li>
 <li>
 Design and implement comprehensive evaluation frameworks and benchmarks to rigorously assess model performance, accuracy and reliability
 </li>
 </ul>
 
 
 
 
 
 What makes you a fit for the team:
 
 
 
 Your entrepreneurial mindset and ability to articulate complex technical ideas will be essential as you collaborate across our remote team to solve novel problems at the intersection of AI and compassionate care delivery
 
 
 
 
</div>

Senior Machine Learning Engineer

Search 2850+ Senior product development scientist jobs near you this September. New roles added regularly across leading industries. Apply today.

2850 senior product development scientist jobs Near Me

Sr. Applied Scientist, AI Evaluation & Quality Systems

Sr. Applied Scientist, AI Evaluation & Quality Systems

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Senior Data Scientist

Senior Autonomous Systems Research Scientist

Lead Data Scientist

Senior Machine Learning Engineer