senior research engineer

Ixico

<div><div><div><div><div>IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world.</div>
<div><br>
The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility.</div>
<div><br>
Our people are empowered to enable us to achieve our company goals and their own personal development through the &ldquo;4A&rdquo; values at the heart of our culture: Aspiration, Ability, Agility and Accountability.</div>
<div>To help us deliver our medical image analysis solutions to large clinical trials we are hiring a <b>Senior Research Engineer</b><b> </b>on a permanent full-time capacity.</div>
<p><b>
Purpose of the Role:</b></p>
<p>
This role is focused onleading innovation within assigned workstreams across IXICO's analytics portfolio, advancing the company's Integrate, Automate, Standardise strategy. The role holder is responsible for innovative development and the definition of analytical validation strategy across MRI, PET and adjacent CNS biomarkers taking assigned workstreams from concept up to transition to cross functional teams for productisation. The role holder contributes to the wider R&amp;D roadmap, including build-vs-buy assessment of third-party technologies, and represents IXICO's scientific work externally.</p>
<p>
Single-point accountability is expected; the role holder acts as technical lead for their assigned workstreams. While the role carries no line-management responsibility, the role holder holds authority over scope definition, methodology, experimental design, validation gating and continue/pivot/stop recommendations within assigned workstreams.
</p><p>The role sits within R&amp;D with day-to-day operational and line management from the Director, R&amp;D. Strategic direction is set by the CSO/CMO, to whom the role holder reports regularly on innovation progress and trajectory to ensure alignment with company-level scientific and product strategy.</p>
<p><b>
Essential Duties and Responsibilities:</b></p>
<p><b>
Research, development and analytical validation</b></p>
<ul>
<li>Lead the design, development and assessment of innovative analytics approaches across MRI and PET imaging as well as adjacent CNS biomarkers from hypothesis through proof-of-concept and analytical benchmarking.</li>
<li>Define requirements, validation strategies and intended-use-aligned performance specifications for each workstream, providing input to Regulatory Affairs and Medical Affairs on validation design.</li>
<li>Iteratively optimise prototype analysis algorithms, data models and pre-processing pipelines, to research-grade reproducibility standards, and partner with the Analysis Products team on transition of mature methods into the productisation track.</li>
</ul>
<p><b>Roadmap, prioritisation and accountability</b></p>
<ul>
<li>Act as technical lead for named workstreams: define validation gates, set pre-agreed continue / pivot / stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams.
</li><li>Own the innovation roadmap for assigned workstreams in line with IXICO&rsquo;S commercially led R&amp;D prioritisation process.
</li><li>Contribute to the wider R&amp;D Roadmap, providing input on dependencies, synergies and sequencing trade-offs between assigned workstreams and IXICO's other product streams.</li>
<li>Critically assess third-party analysis products for potential in-licensing where buy is preferable to build, feeding build-vs-buy recommendations into the R&amp;D/product roadmap.</li>
</ul>
<p><b>Cross-functional collaboration</b></p>
<ul>
<li>Work closely with the wider Science and Product teams to ensure seamless deployment of novel analysis tools.</li>
<li>Provide scientific and technical input to Business Development and Medical Affairs for partner discussions, bid defenses and co-development scoping.</li>
</ul>
<p><b>Dissemination and external visibility</b></p>
<ul>
<li>Represent IXICO's scientific work at conferences, through peer-reviewed publication, and via marketing material aligned with the company narrative.</li>
<li>Build relationships with academic and industry collaborators that support data access, validation and credibility.</li>
</ul>
<p><b>Qualifications and skills required for the role:</b></p>
<p><b>
Essential</b></p>
<ul>
<li>Doctorate in a relevant quantitative discipline (medical image analysis, machine learning, computer science, biomedical engineering, computational neuroscience) or equivalent industry research experience.</li>
<li>Substantial post-doctoral or equivalent industry experience (typically 5+ years) in developing and validating machine-learning or AI-based medical image analysis solutions, including in MRI and / or PET.</li>
<li>Demonstrable track record of taking analytical innovation from concept through proof-of-concept and analytical validation, with awareness of how validated methods transition into regulated product development.</li>
<li>Strong programming skills in Python and Linux environments; familiarity with modern deep-learning frameworks (PyTorch, TensorFlow); proficient with version control, containerisation and reproducible-research practices.</li>
<li>Strong applied knowledge of statistics, validation methodology (analytical, clinical, technical), and study design.</li>
<li>Excellent written and verbal communication; able to translate between scientific, regulatory and commercial audiences.</li>
<li>Single-point accountability mindset: comfort owning named innovation workstreams, presenting progress against pre-set criteria, and making continue / pivot / stop recommendations.</li>
<li>Strong collaborative working style across R&amp;D, Regulatory, Medical Affairs and Commercial functions.</li>
</ul>
<p><b>Desirable</b></p>
<ul>
<li>Experience in a regulated medical-device or SaMD development environment (ISO 13485, IEC 62304, FDA 510(k) or De Novo submissions, EU MDR).</li>
<li>Experience with AI / ML model lifecycle in clinical or trial settings, including post-market performance monitoring and GMLP-aligned practice.</li>
<li>Familiarity with multimodal biomarker integration (imaging + plasma + digital cognition).</li>
<li>Experience designing or working with API-delivered analytics, SaaS platforms, or partner-integrated clinical-trial software.</li>
<li>Prior experience in a CRO, medical imaging technology company or comparable industry setting.</li>
<li>Track record of peer-reviewed publication and conference presentation in relevant fields.</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Competitive remuneration package including benchmarked salaries.</li>
<li>Staff Annual Bonus Plans and Annual Salary Review.</li>
<li>Generous employer pension contribution of 6%.</li>
<li>25 days annual leave, increasing up to 28 days with every year at IXICO.</li>
<li>BUPA private medical insurance scheme.</li>
<li>Life Assurance of 4x annual salary.</li>
<li>Employee Benefits Portal, offering various discounts in retail, food &amp; drink, and entertainment.</li>
<li>Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties.</li>
<li>Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training.</li>
<li>Employee Assistance Programme offering advice and support on a wide range of topics.</li>
<li>Hybrid working model pattern split between working in the City of London and remotely.</li>
<li>Reimbursement allowance to purchase equipment to support working from home.</li>
<li>Generous employee referral scheme offering &pound;2,000 for referring a successful candidate to the company.</li>
<li>Financial assistance for professional qualifications.</li>
<li>Opportunity to contribute to an industry where your work has an impact every single day.</li>
</ul>
<p><b>How to Apply</b></p>
<p>
IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services.</p>
<p>
IXICO doesn&rsquo;t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class.</p>
<p>
This is a great opportunity for a motivated <b>Senior Research Engineer</b><b> </b>in a permanent full-time capacity to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis.</p>
<p>
If you think IXICO should meet you, please send us your CV and covering letter by email to <b>careers@ixico.com </b>or apply directly via <b>LinkedIn</b>. We are looking forward to your application.</p>
<p>
Please note that our entire business is operating under a <b>Hybrid-Working Model</b>, where UK-based employees are required to attend our London office <b>2 days a week</b>. If you have got any questions, please reach out to our careers team.</p>
<p>
Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact careers@ixico.com.</p></div></div></div></div>

Senior Research Engineer

JetBrains

<div><div><div><div><p>JetBrains is a global software company that creates intelligent tools for software developers and teams. Since 2000, we have built products that help developers work more productively, write higher-quality code, and stay focused on solving real problems.</p>
<p>
The JetBrains Research team is looking for a Senior Research Engineer to work on Code World Models: models that learn how software systems behave, change, execute, and interact with developer tools.</p>
<p>
This role is focused on model pre-training and mid-training for code-centric foundation models. You will work on data, training pipelines, evaluation, and experiments that improve how models understand programs, repositories, execution, tests, and software engineering workflows.</p>
<h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2>
<ul><li>Design and run pre-training, continued pre-training, and mid-training experiments for code models.</li>
<li>Build and improve data pipelines for large-scale model training, including filtering, deduplication, mixture design, and dataset quality checks.</li>
<li>Work with code corpora, repositories, tests, execution traces, and synthetic data.</li>
<li>Develop evaluations for complex repository-level code reasoning tasks.</li>
<li>Collaborate with researchers and engineers working on ML for code and AI developer tools.</li>
</ul><h2 class="jobSectionHeader"><b>We&rsquo;ll be happy to have you on our team if you:</b></h2>
<ul><li>Have hands-on experience with model pre-training, continued training, or mid-training.</li>
<li>Have strong engineering skills in Python and experience with modern ML frameworks.</li>
<li>Understand large-scale ML training workflows, including data processing, distributed training, checkpointing, evaluation, experiment tracking, and debugging.</li>
<li>Have experience working with large datasets and care about data quality, contamination, sampling, and reproducibility.</li>
<li>Have a background in NLP, ML for software engineering, or a similar domain.</li>
<li>Enjoy working on research problems with high uncertainty and turning ideas into working experiments.</li>
</ul><h2 class="jobSectionHeader"><b>It would be a plus if you:</b></h2>
<ul><li>Have experience training or adapting models for code generation, code understanding, software agents, program repair, test generation, or repository-level reasoning.</li>
<li>Have worked with execution-based data, such as unit tests, traces, logs, compiler feedback, runtime states, or sandboxed code execution.</li>
<li>Have experience with large-scale distributed training of models with 70B+ parameters.</li>
<li>Understand evaluation challenges for code models, including benchmark contamination, flaky tests, execution-based scoring, and long-horizon task evaluation.</li>
<li>Have contributed to ML infrastructure, open-source projects, or research systems.</li>
</ul></div></div><div><div>#LI-KP1</div>
</div></div><div><p><b>
We are an equal opportunity employer</b><br>
<br>
We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.</p>
<p><i>
We process the data provided in your job application in accordance with the </i><i>Recruitment Privacy Policy.</i></p></div></div>

Senior Research Engineer (Code World Models)

Flow Traders

<p></p><div><p>Flow Traders is looking for a Senior Research Engineer, successful candidate will be relocated to our Hong Kong Office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.</p>
<p>
As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.</p>
<h4 class="jobSectionHeader"><b>
What You Will Do</b></h4>
<ul><li>Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production</li>
<li>Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals</li>
</ul><h4 class="jobSectionHeader"><b>What You Need to Succeed</b></h4>
<ul><li>Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar</li>
<li>8+ years of hands-on experience MLOps, Research Engineering, or ML Research</li>
<li>A strong background in mathematics and statistics</li>
<li>Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray.</li>
<li>Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring</li>
<li>Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)</li>
<li>Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)</li>
</ul>
<p><i>Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.</i></p></div>

Senior Research Engineer (Based in Hong Kong)

Toyota Research Institute

<div><div><p>At Toyota Research Institute (TRI), we&rsquo;re on a mission to improve the quality of human life. We&rsquo;re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we&rsquo;ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.</p><div></div><div><p><br>
The Learning From Videos (LFV) team develops world foundation models that leverage large-scale multi-modal data (RGB, depth, flow, semantics, actions, tactile, audio, etc.) from multiple domains to power downstream embodied AI tasks. Our topics of interest include Video Generation, World Models, 4D Reconstruction, Multi-Modal Models, Multi-View Geometry, Data Augmentation, and Video-Language-Action models, with a primary focus on embodied applications such as robotics and driving. We are making progress on some of the hardest scientific challenges around spatio-temporal reasoning, and how it can lead to the deployment of autonomous agents in real-world unstructured environments.</p><br>
<p></p>
<p>
Our team is looking for a Research Engineer to help develop and deploy our world foundation models (WFMs) toward their key milestones in the autonomous driving domain. As our WFMs scale in both capability and ambition, we need a strong engineer who can bridge the gap between research ideas and production-grade systems. This is not a traditional software engineering role; you will work directly alongside research scientists, understand the research deeply enough to make independent technical decisions, and play a key role in enabling the deployment of key research breakthroughs into close-to-production environments.</p><br>
<p></p>
<p>
As a Research Engineer, you will be responsible for supporting and optimizing large-scale distributed training of diffusion and transformer models; maintaining the infrastructure that ingests, unifies, and serves heterogeneous multi-modal datasets at scale; and developing tools and pipelines that accelerate the research-to-results cycle. You will work closely with researchers to prototype new ideas, run experiments, and help ship our most successful models toward real-world applications with real-world impact.</p><p><br>
This role requires close collaboration with multiple TRI divisions (Robotics, Automated Driving, Human-Interactive Driving, etc.) as well external Toyota and University partners, and the ability to reconcile and prioritize possibly competing requirements in a fast-paced combination of research and production environments.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div><div><div>
<ul>
<li><p>Collaborate directly with research scientists to implement, iterate on, and evaluate new architectures, objectives, datasets, and training strategies. Translate research prototypes into clean, maintainable, reusable code that will be shared across multiple TRI teams and the broader Toyota ecosystem.</p>
</li>
<li><p>Build and maintain scalable pipelines for ingesting, converting, validating, and serving heterogeneous datasets (multi-view, multi-modal, multi-embodiment, etc.), across robotics and autonomous driving, into unified training-ready formats. Track and integrate new public and internal datasets as they become available.</p>
</li>
<li><p>Support and optimize large-scale distributed training of world foundation models on multi-GPU and multi-node clusters. Manage experiment workflows, profiling, debugging, and hyperparameter sweeps to ensure optimal performance in a timely manner.</p>
</li>
<li><p>Develop tools for dataset inspection, experiment tracking, model evaluation, GPU resource management, and visualization. Automate repetitive workflows to improve team velocity.</p>
</li>
<li><p>Work with other TRI teams and Toyota affiliates to set up shared pipelines, onboard their data, and support joint training and evaluation efforts.</p>
</li>
<li><p>Produce maintainable, well-documented code. Contribute to internal tooling and open-source releases to the scientific community.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div><div><div>
<ul>
<li><p>Master&rsquo;s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, with a minimum of 2 years of relevant experience and strong software engineering skills.</p>
</li>
<li><p>Deep proficiency in Python, PyTorch, and the Unix/Linux toolchain. Comfort working in terminal-heavy, SSH-based workflows on shared GPU clusters.</p>
</li>
<li><p>Hands-on experience with large-scale deep learning training, including distributed training (DDP, FSDP, DeepSpeed, or similar), GPU profiling, and debugging training failures at scale.</p>
</li>
<li><p>Experience building data pipelines for heterogeneous or multi-modal datasets (images, video, depth, point clouds, actions, etc).</p>
</li>
<li><p>Experience with video diffusion models, 3D/4D reconstruction, and multi-view geometry.</p>
</li>
<li><p>You are proactive, self-directed, and comfortable operating with ambiguity in a research-driven environment that spans multiple divisions.</p>
</li>
<li><p>You are a reliable teammate who communicates clearly and takes ownership of problems end-to-end.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3><div><div><div>
<ul><li>Experience with cloud training infrastructure (AWS SageMaker, EC2) and containerized workflows (Docker, Kubernetes).</li>
<li>
<p>Familiarity with standard data formats and collection pipelines (ROS, MCAP, HDF5, etc.) as well as simulation environments.</p>
</li>
<li><p>Proficiency with modern AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) for accelerating engineering workflows.</p>
</li>
<li><p>Track record of contributions to open-source projects or publications at top venues (CVPR, ICLR, NeurIPS, RSS, ICRA, etc.) is a plus but not required.</p>
</li>
</ul></div></div></div></div></div><div><div><div><b>Please include links to any relevant open-source contributions or technical project write-ups with your application.</b></div>
<div></div>
<div><i>The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.</i></div></div><div><br>
</div><div>
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.</div>
<div></div>
<div>TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant&rsquo;s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.</div>
<div></div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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></div></div>

Senior Research Engineer, Computer Vision (LFV/WFM)

University of Dundee

<div><div><div><div><p>Closing date</p>
<b>Friday, 24 July 2026, 23:59
</b></div><div><p>Salary</p>
<b>&pound;46,735 - &pound;55,755 per annum</b>
<br>
<b>Grade 8
</b></div><div><p>Contract type</p>
<b>Fixed Term</b>
<br>
</div></div></div><div><div>Campus
<p>Ninewells</p>
</div><div>School/Directorate
<p>School of Medicine</p>
</div><div>Unit/Department
<p>Health Informatics Centre (HIC)</p>
</div></div><div><p>The Health Informatics Centre (HIC) at the University of Dundee is seeking an enthusiastic and innovative Senior Research Infrastructure Engineer to join our growing Infrastructure Team to help design and deliver the next generation of our secure research infrastructure.</p>
<p>You will play a key role in building and evolving our Trusted Research Environment (TRE)-a secure platform enabling cutting-edge research using sensitive health and population data. This includes support for AI/ML, genomics, imaging, and large-scale analytics in a highly governed environment.</p>
<p>This is an exciting opportunity to lead technical innovation, influence architectural decisions, and shape the future of research infrastructure operating across hybrid cloud and on-premises platforms.</p>
<p><b>Your priorities will include:</b></p>
<ul><li>Lead development of our Kubernetes-based TRE platform on AWS, evolving toward hybrid architectures.</li>
<li>Design, deploy, and manage infrastructure across local, private, and public cloud environments.</li>
<li>Implement Infrastructure as Code (e.g. Terraform) and modern DevOps practices.</li>
<li>Ensure all infrastructure meets strict security, information governance, and ISO27001 standards.</li>
<li>Collaborate with researchers, data engineers, developers, and data specialists to deliver impactful solutions.</li>
<li>Provide technical leadership, mentoring, and guidance within the team.</li>
<li>Build and support custom configurations, including virtualised environments, containers, and hybrid cloud architectures.</li>
<li>Implement new technical capabilities including AI/ML support, HPC, bioinformatics, imaging and genomics pipelines, and scalable storage/compute solutions.</li>
<li>Contribute to the development of secure workflows for data ingress/egress, including algorithms and ML model export.</li>
<li>Provide technical support, troubleshooting, and problem-solving across infrastructure components.</li>
<li>Communicate complex technical concepts clearly to both specialist and non-specialist stakeholders.</li>
</ul><p><b>Who we're looking for:</b></p>
<ul><li>Degree in computing, engineering, maths, or a related STEM discipline.</li>
<li>Expertise in Linux systems, containerisation (Kubernetes), and Infrastructure as Code.</li>
<li>Proficiency in scripting (e.g. Python, Bash) and modern DevOps toolchains.</li>
<li>Strong experience with cloud or hybrid infrastructure (AWS preferred).</li>
<li>Experience delivering secure systems handling sensitive or confidential data.</li>
<li>Solid understanding of networking, monitoring, and system reliability.</li>
<li>Ability to communicate complex technical concepts to varied audiences.</li>
<li>Experience deploying or managing server, cloud, or container-based infrastructure supporting production environments.</li>
<li>Understanding of secure cloud computing, information governance, and managing confidential/sensitive data.</li>
<li>Familiarity with Windows systems administration.</li>
<li>Ability to work both independently and collaboratively as part of a multidisciplinary team. * Proactive, problem-solving mindset with the ability to take ownership of tasks and deliver to deadlines.</li>
</ul><p><b>Desirable</b></p>
<ul><li>PhD in computing, engineering, maths, or a related STEM discipline.</li>
<li>Experience with public cloud (AWS, Azure, GCP) or hybrid cloud deployments.</li>
<li>Background in HPC, bioinformatics or research computing.</li>
<li>Experience with genomics or imaging data pipelines.</li>
<li>Familiarity with Kubernetes, Docker, and container orchestration best practices.</li>
<li>Knowledge of ISO27001 or other information security management frameworks.</li>
<li>Experience with CI/CD pipelines, Git version control, and automation tools.</li>
<li>Understanding of RDBMS technologies (SQL Server, PostgreSQL).</li>
<li>Experience with monitoring systems such as CloudWatch, Prometheus, or similar.</li>
<li>Contribution to research projects or academic publications.</li>
<li>Strong interest in secure system design, root-cause problem analysis, and operational simplicity.</li>
</ul><p>To learn more about HIC please visit https://www.dundee.ac.uk/hic/.</p></div></div>

Senior Research Infrastructure Engineer

Cerence AI

<div><h2 class="jobSectionHeader"><b>A Moving Experience.</b></h2><p><b>
Daily Functions / Responsibilities:</b></p><ul><li>
Develop advanced, robust DNN-based speech enhancement solutions for automotive applications and adjacent domains such as healthcare, robotics, and home entertainment</li><li>
Design, implement, and maintain scalable tools and workflows for training and evaluating DNN models</li><li>
Support business development by creating proof-of-concepts (PoCs) and participating in customer demonstrations</li><li>
Drive the integration of new technologies into production-ready products and solutions</li><li>
Analyze and evaluate emerging technologies and competitive offerings</li><li>
Mentor and supervise interns and master&rsquo;s students</li><li>
Contribute to the company&rsquo;s IP portfolio by drafting and supporting patent applications</li></ul><p><b><br>
Requirements:</b></p><p><i>
Education:</i> Master&rsquo;s degree or PhD in Electrical Engineering, Communications Engineering, Computer Science, or a related field. Industry experience in one or more of these domains is considered an advantage.</p><p><i>
Minimum years of work experience:</i> 3</p><p></p><p><i>
Required skills:</i></p><ul><li>
Proven experience in developing and training machine learning models, particularly deep neural networks (DNNs)</li><li>
Strong expertise in digital signal processing, with a focus on speech and audio processing</li><li>
Solid programming skills in C and Python</li><li>
Good understanding of software development methodologies, processes, and best practices</li><li>
Positive, proactive mindset with strong teamwork and collaboration skills</li><li>
Proficiency in English and German, both written and spoken</li></ul><p></p><p>
Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world&rsquo;s leading automakers &ndash; from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC &ndash; to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.</p><p></p><p><br>
As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence&rsquo;s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.</p><p></p><h3 class="jobSectionHeader"><b>
EQUAL OPPORTUNITY EMPLOYER</b></h3><p></p><p>
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.</p><p></p><p>
All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:</p><div><ul><li><br>
Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.</li><li>Following security procedures to report any suspicious activity.</li><li>Having respect for corporate security procedures to allow those procedures to be effective.</li><li>Adhering to company's compliance and regulations.</li><li>Encouraging to follow a zero tolerance for workplace violence.</li></ul></div><ul><li>Basic knowledge of information security and data privacy requirements (e.g., how to protect data &amp; how to be handling this data).</li><li>Demonstrative knowledge of information security through internal training programs.</li></ul></div>

Senior Research Engineer AI Speech Enhancement

Jorofy Private Limited

<p>We are seeking a highly skilled <b>Senior AI Engineer (PhD)</b> to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.</p><p>The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.</p><p>Key ResponsibilitiesAI Research &amp; Innovation</p><ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul><p>Solution Design &amp; Development</p><ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul><p>Generative AI &amp; LLM Engineering</p><ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul><p>MLOps &amp; Deployment</p><ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul><p>Leadership &amp; Collaboration</p><ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul><p>Required QualificationsEducation</p><ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul><p>Experience</p><ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul><p>Technical SkillsProgramming</p><ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul><p>AI/ML Frameworks</p><ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul><p>Generative AI &amp; LLM Technologies</p><ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul><p>Cloud Platforms</p><ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul><p>MLOps &amp; DevOps</p><ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul><p>Databases</p><ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul><p>Preferred Qualifications</p><ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul><p>Core Competencies</p><ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul><p>Key Deliverables</p><ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul><p><b>Experience Required:</b> 8&ndash;15+ Years<br/><b>Education:</b> PhD (Mandatory)<br/><b>Level:</b> Senior / Lead Individual Contributor or Technical Lead Role.</p><p>Education:</p><ul><li>Master's (Preferred)</li></ul><p>Experience:</p><ul><li>Senior Engineer: 10 years (Required)</li></ul><p>Work Location: In person</p>

Senior AI Engineer (PhD)

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