ai research engineer

Zscaler

<div><div>About Zscaler

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate&mdash;we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.</div>
Role

We are looking for a Principal, AI Research Engineer to join our AI &amp; Data Protection team. This role is hybrid based in San Jose, CA, and reports to the EVP, AI Security and Strategic Initiatives.

Zscaler's mission is to secure the world's data in the age of AI. As the leader of the world's largest security cloud, the Zero Trust Exchange, we are uniquely positioned to define how the global enterprise safely adopts, scales, and secures Artificial Intelligence. You will be the primary architect of Zscaler's AI ecosystem, bridging the gap between our core Zero Trust platform and the rapidly evolving world of LLMs, GPU infrastructure, and AI application frameworks. This role is ideal for a technical leader who deeply understands the &quot;AI Stack&quot; and has a proven track record of building thriving developer and partner ecosystems at scale.

What you'll do (Role Expectations)
<ul>
<li>Define the AI Ecosystem Strategy by leading the vision for integrations with frontier model providers, vector database companies, and AI infrastructure leaders</li>
<li>Lead the &quot;Secure AI&quot; roadmap by owning the lifecycle for features that enable safe use of 3rd-party LLMs and prevent data leakage</li>
<li>Build a developer ecosystem by defining and launching APIs, SDKs, and integration patterns for &quot;Zero Trust-native&quot; applications</li>
<li>Drive market leadership and cross-functional partnerships to turn complex technical integrations into high-growth go-to-market motions</li>
</ul>
Who You Are (Success Profile)
<ul>
<li>You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.</li>
<li>You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.</li>
<li>You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.</li>
<li>You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback&mdash;knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.</li>
<li>You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.</li>
</ul>
What We're Looking for (Minimum Qualifications)
<ul>
<li>8+ years of experience in technical leadership or engineering partnerships with a history of building impactful industry relationships</li>
<li>Deep technical fluency in the AI lifecycle including training vs. inference, GPU roles, context windows, and RAG architectures</li>
<li>Ability to apply first-principles thinking to fundamental security and networking challenges in enterprise LLM deployment</li>
<li>Strong bias for action with a &quot;Ship Early, Iterate Fast&quot; mentality and focus on delivering high-value MVPs</li>
<li>Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain</li>
</ul>
What Will Make You Stand Out (Preferred Qualifications)
<ul>
<li>Proven track record of building thriving developer and partner ecosystems at scale</li>
<li>Deep understanding of the full &quot;AI Stack&quot; from inference and RAG to data governance</li>
<li>Experience in high-velocity environments where AI security and networking solutions are evolving daily</li>
</ul>
#LI-Hybrid

#LI-CM3<div>
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
<div>
<ul><li>Various health plans</li>
<li>Time off plans for vacation and sick time</li>
<li>Parental leave options</li>
<li>Retirement options</li>
<li>Education reimbursement</li>
<li>In-office perks, and more!</li>
</ul>
<div>Learn more about Zscaler's hybrid working model and benefits here.
</div>
</div>By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.</div></div>

Principal, AI Research Engineering

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field and 2 years of experience in the job offered or in a Software Engineer-related occupation.</li>
<li>Position requires 2 years of experience in the following: Software development using Java, C, C++, Python, or Go; Designing and applying data structures or algorithms; Systems thinking or analyzing technical problems from a broad, systems-level perspective; ML infrastructure management including model deployment, evaluation, optimization, and data processing; and Managing the full lifecycle of applied research projects from proof-of-concept to implementation.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $149,400 - $211,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google Sunnyvale, CA office &amp; may allow for a hybrid schedule per Google policy.
Artificial intelligence will be one of humanity&rsquo;s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.<div>
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Apply research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning.</li>
<li>Develop and test robust product code, performing comprehensive testing that includes integration, performance, and security to ensure system quality and reliability.</li>
<li>Collaborate with peers through rigorous design and code reviews to enforce best practices, improve system testability, and ensure overall efficiency and accuracy.</li>
<li>Triage and resolve complex system issues by debugging, analyzing root causes, and implementing solutions to optimize hardware, network, and service operations.</li>
<li>Create and maintain technical documentation and educational materials, adapting content based on product updates and user feedback to ensure clarity and relevance. Manage the full deployment lifecycle by contributing to system qualification, monitoring, process automation, and paying down technical debt to improve long-term scalability.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Mountain View, CA, USA

Tesla

<div>What to Expect<div>
At Tesla AI, we are solving real-world autonomy at a scale that does not exist anywhere else. We are building the brains for millions of robots and to achieve this, we train frontier-scale foundation models on the world&rsquo;s richest, most diverse dataset of multimodal telemetry, vision, language, and robotic action. You will have access to unparalleled resources that set us apart from other companies in the AI industry. You will work with one of the richest real-world driving, robotics and human-interaction datasets available, spanning vision, language, action, and on-robot telemetry providing a unique environment to study how capability transfers from large teacher models into compact students that must run under strict latency, power, and reliability constraints. Tesla also offers one of the highest GPU resources per engineer in the industry, giving you the computational budget to train frontier-scale teachers, generate high-quality distillation corpora at volume, and iterate on student architectures far beyond typical research environments.
These resources enable you to run distillation experiments across language, multimodal, and policy models at a fidelity and scale unmatched elsewhere, and to close the loop by deploying distilled models onto FSD / Optimus in the real world. 
</div> 
What You'll Do<div><ul><li>
Design and execute state-of-the-art distillation pipelines that transfer complex reasoning, vision-language understanding, and action policies from massive teacher models to ultra-efficient student models for FSD (Full Self-Driving), Optimus, and Digital Optimus</li><li>
Develop and iterate on advanced distillation methodologies, including logit-level, sequence-level, and trajectory-level distillation. You will pioneer novel recipes combining synthetic data generation, soft-label training, supervised fine-tuning (SFT), and Reinforcement Learning (RL)</li><li>
Conduct experiments to uncover the scaling behaviors of distillation: teacher size, student capacity, student architecture design, data mixture, compute allocation, and how each factor affects capability retention, latency, and on-robot performance</li><li>
Build and maintain infrastructure for efficient large-scale teacher inference, distillation data curation, and distributed student training, resolving compute and memory bottlenecks end-to-end</li><li>
Evaluate distilled models against teacher fidelity and product metrics like task success, robustness, and real-world behaviors and close gaps where students diverge from teachers</li><li>
Work closely with cross-functional teams to ship distilled models to production, meeting stringent performance, safety, and reliability standards</li><li>
Contribute tools and frameworks that make distillation reproducible, measurable, and reusable across Tesla AI model families</li></ul></div> 

What You'll Bring<div><ul><li>
Deep, proven expertise in deep learning fundamentals, particularly in training, compressing, or distilling large-scale language, vision, or multimodal models</li><li>
Strong grasp of teacher&ndash;student interaction, synthetic data, and the tradeoffs between capability, latency, and compute</li><li>
In-depth knowledge of loss design (e.g., KL / soft-target objectives), and modern neural architectures (mixture of experts, hybrid attention, and beyond)</li><li>
Hands-on familiarity with post-training methods such as distillation, supervised fine-tuning, and policy optimization / RL</li><li>
Strong expertise in distributed computing and large-scale training or inference pipelines</li><li>
Proficiency in Python and a deep understanding of software engineering best practices</li><li>
Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX</li><li>
Demonstrated ability to work collaboratively in a cross-functional team environment</li><li>
Strong problem-solving skills and the ability to troubleshoot complex system-level issues across data, training, and deployment</li></ul></div> 

Compensation and Benefits<div>
Benefits</div><div>
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
<ul><li>Medical plans &gt; plan options with $0 payroll deduction</li>
<li>Family-building, fertility, adoption and surrogacy benefits</li>
<li>Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution</li>
<li>Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li>
<li>401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits</li>
<li>Company paid Basic Life, AD&amp;D</li><li>
Short-term and long-term disability insurance (90 day waiting period)</li>
<li>Employee Assistance Program</li>
<li>Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays</li>
<li>Back-up childcare and parenting support resources</li>
<li>Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft &amp; legal services, and pet insurance</li>
<li>Weight Loss and Tobacco Cessation Programs</li>
<li>Tesla Babies program</li>
<li>Commuter benefits</li>
<li>Employee discounts and perks program</li>
</ul></div><div>Expected Compensation</div><div>
$124,000 - $558,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</div> 
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 
 
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

AI Engineer, Model Distillation, Tesla AI

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

The Campbell's Company

<div>
 
 Since 1869, we've connected people through food they love. We&rsquo;re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell&rsquo;s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao&rsquo;s Homemade, Snack Factory, Snyder&rsquo;s of Hanover. Swanson, and V8.
 
 
 
 
 Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
 
 
 
 
 Data Engineer / AI Engineer (Co-op)
 
 
 
 We are seeking a motivated and curious
 
 Data Engineer / AI Engineer
 
 to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build "intelligent" systems, we want to hear from you!
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.
 </li>
 <li>
 AI Training: Provide feedback to enhance and optimize the output of agents.
 </li>
 <li>
 Prompt Engineering &amp; Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.
 </li>
 <li>
 Monitor Model Performance: Identify "hallucinations" or inconsistencies in AI responses and suggest improvements for model grounding.
 </li>
 <li>
 Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.
 </li>
 <li>
 Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.
 </li>
 <li>
 Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.
 
 
 </li>
 </ul>
 
 Learning &amp; Development Opportunities
 
 
 
 <ul>
 <li>
 Hands-on training in Generative AI and Agentic technologies.
 </li>
 <li>
 Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.
 </li>
 <li>
 Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake).
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
 </li>
 <li>
 Foundational programming skills in Python and an understanding of SQL.
 </li>
 <li>
 Familiarity with AI concepts through coursework or personal projects.
 </li>
 <li>
 Excellent problem-solving skills and a high degree of technical curiosity.
 </li>
 <li>
 Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.
 
 
 </li>
 </ul>
 The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.
</div>

Data Engineer, DA&AI Co-Op

BV Teck

<div>AI Security Engineer &ndash; Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: AI Security Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $80,000&ndash;$105,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Cybersecurity, or a related discipline.</li><li>
Six or more years of security engineering experience, including significant work on AI or ML systems.</li><li>
Strong understanding of LLM internals, modern AI architectures, and common failure modes.</li><li>
Hands-on experience designing security controls for AI-powered applications.</li><li>
Deep knowledge of application security, identity, and cryptography fundamentals.</li><li>
Experience with threat modeling and security architecture review processes.</li><li>
Familiarity with adversarial ML, prompt injection, and model abuse research.</li><li>
Proficiency in Python and at least one systems language.</li><li>
Strong understanding of cloud security and modern infrastructure controls.</li><li>
Excellent written and verbal communication skills.</li></ul>
Preferred Qualifications<ul><li>
Publications, talks, or CTF participation in AI security topics.</li><li>
Experience with red-teaming LLM-based products.</li><li>
Familiarity with privacy-preserving ML techniques such as differential privacy.</li><li>
Exposure to regulated industries with strict data handling requirements.</li><li>
Open-source contributions to AI security tooling.</li></ul>
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. 
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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