implementation engineer

Pylon

<div><h2 class="jobSectionHeader"><b>At Pylon, we're building the future of B2B Post Sales</b></h2><p>
We&rsquo;re building the all-in-one B2B post-sales support platform powered by conversational data and layered with intelligence to help our customers run their operations in real-time.</p><p>
We&rsquo;re backed by a16z, BCV, General Catalyst, Y Combinator.<br>
Currently more than 1000 companies, including Linear, Cognition (Windsurf), Modal Labs, and Incident.io run their support and customer success workflows with Pylon. You can also find us on the Enterprise Tech 30 List.</p><p>
This is a fully in-person role; we do not offer remote or hybrid options.</p><p></p><p><b>
What you'll do</b></p><ul><li><p>
You will be running migrations end-to-end, from start to finish - that includes translating their current processes, supporting enablement for their team, and helping migrate over their historical data.</p></li><li><p>
One of our core principles is to use Pylon at Pylon. We expect strong product fluency. Within your first week, you will become an expert in all things Pylon, specifically in getting yourself and others stood up on the platform.</p></li><li><p>
You will be the go-to expert when it comes to implementing Pylon - beyond that, you will build deep knowledge around other legacy Support systems (Zendesk, Intercom, etc.) that we migrate customers off of.</p></li><li><p>
You will be the go-to person for our customers&rsquo; questions about the product, spanning a wide range of topics from basic how-tos to deep edge cases.</p></li><li><p>
Juggle many customers at once and drive them to completion - currently, we have zero failed migrations, and we want to keep it that way.</p></li></ul><p></p><p><b>
Requirements</b></p><ul><li><p>
Located in (or will relocate to) San Francisco and excited about working in-person</p></li><li><p>
Organized, very hard-working, and fast. You will be juggling 20+ migrations at once.</p></li><li><p>
Comfortable regularly interacting with customers over chat and video</p></li><li><p>
Be a team player - the SE team is small but mighty. We are happy grinders, and our teams have very flat hierarchies. We are optimizing for the bigger picture, and the best idea always wins.</p></li><li><p>
Detail-oriented and a fast learner. You will need to become a product expert in many tools quickly.</p></li></ul><p></p><p><b>
Big Plus</b></p><ul><li><p>
Technical background and appetite for technology is a big plus</p></li><li><p>
Previous experience managing support systems and/or implementing SaaS products</p></li></ul><p></p><p><b>
Our perks</b></p><p>
Fully covered medical, dental, and vision insurance for employees</p><p>
401(k) retirement plan</p><p>
Commuter benefits</p><p>
Parental leave</p><p>
14 company holidays + unlimited PTO</p><p>
Annual offsite</p><p>
Lunch, dinner, and snacks at the office</p><p>
Fitness stipend</p><p></p><p><b>
More about Pylon</b></p><ul><li><p><b>
Funding:</b> Series B led by a16z and BCV ($51M total raised)</p></li><li><p><b>
Founders:</b> Advith Chelikani, Robert Eng, and Marty Kausas</p></li><li><p><b>
Team:</b> Currently 90+ and growing!</p></li></ul></div>

Implementation Engineer

OpenAI

<div>
 We&rsquo;re building the next generation of OpenAI&rsquo;s internal developer experience, whether they&rsquo;re working human-only, agent-only, or fully hybrid. As AI changes how software gets written, reviewed, tested, and shipped, we are reimagining the best practices in the software development lifecycle, and integrating our dev infra and tooling into a seamless yet powerful offering.
 <br/>
 <br/>
 This role lives at the intersection of product design, engineering craft, and real-world scale. We&rsquo;re looking for a
 <strong>
  product-minded engineer
 </strong>
 who can own end-to-end experiences across multiple UI/UX surfaces across our internal tooling ecosystem, with a strong taste for interaction design and a keen eye for developer&rsquo;s needs.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own major product areas end-to-end: problem discovery, UX iteration, technical design, implementation, rollout, and ongoing improvements.
  </li>
  <li>
   Partner closely with engineers and internal stakeholders to understand pain points and translate them into simple, effective UI/UX for core developer workflows.
  </li>
  <li>
   Integrate and iterate on AI-empowered DevEx that balances capability vs simplicity/control.
  </li>
  <li>
   Set a high bar for performance, reliability, and usability, providing a world-class product experience for every engineer at OpenAI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You might thrive in this role if you
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 5+ years of professional engineering experience (excluding internships) building user-facing products.
  </li>
  <li>
   Are a strong frontend engineer or a full-stack engineer with deep UI instincts, and modern web fundamentals (TypeScript, React, component design, state management).
  </li>
  <li>
   Have built products in zero-to-one environments, or owned a product surface with ambiguous requirements and high urgency.
  </li>
  <li>
   Have experience building internal tools, enterprise tools, or workflow-heavy products for technical users.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 <br/>
 <br/>
 Compensation Range: $185K - $490K
</div>


Software Engineer, Full-Stack — Developer Experience

Bain & Company

What Makes Us A Great Place To Work
<br><br>
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on [1] Glassdoor’s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
<br><br>
About Bain AI, Insights & Solutions (AIS)
<br><br>
Bain’s [2] AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.
<br><br>
The Impact You’ll Have
<br><br>
Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.
<br><br>
As an ML-AI Engineer Intern in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.
<br><br>
The Role
<br><br>
We are hiring an ML-AI Engineer Intern to help build GenAI and agentic AI applications for enterprise use cases, ranging from rapid proofs of concept (POCs) to MVPs and, where appropriate, scaled production deployments. You will design and implement LLM-driven applications and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely.
<br><br>
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.
<br><br>
You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.
<br><br>
Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.
<br><br>
What You’ll Do
<br><br>
Build AI applications that drive real business outcomes
<br><ul>
<li>Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li>
<li>Support the implementation of agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li>
<li>Assist in building robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li>
</ul>
Build and apply data science and machine learning capabilities
<br><ul>
<li>Contribute to ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.</li>
<li>Apply appropriate ML methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li>
<li>Develop working knowledge of modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts (e.g., instruction tuning, preference optimization).</li>
</ul>
<b>Engineer for real delivery:</b> POC → MVP → production
<br><ul>
<li>Write clean, testable, maintainable code and ship AI services through the full SDLC: build → test → deploy → monitor → iterate.</li>
<li>Support implementation of MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.</li>
<li>Contribute to evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt/policy optimization.</li>
<li>Gain exposure to secure enterprise deployment practices, including access controls, auditability, data handling for sensitive/PII data, and responsible AI guardrails.</li>
<li>Contribute to reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li>
</ul>
Thrive in a consulting environment
<br><ul>
<li>Communicate clearly with technical and non-technical audiences; present in working sessions, share recommendations, and help write crisp technical documentation.</li>
<li>Support client discussions, demos, and documentation development as part of broader engagement teams.</li>
</ul>
What We’re Looking For (Qualifications)
<br><br>
Educational background
<br><ul>
<li>Currently pursuing or recently completed a bachelor’s, master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related quantitative field; or equivalent early-career industry experience.</li>
<li>Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.</li>
</ul>
Core engineering + AI application skills
<br><ul>
<li>0-2+ years of professional AI / ML engineering experience or equivalent experience through internships, research, academic projects, or industry roles, with strong backend engineering fundamentals.</li>
<li>Proficiency in Python and some experience building APIs/services (e.g., REST/gRPC) or comparable project-based experience.</li>
<li>Hands-on experience (academic, internship, or industry) building ML or LLM-powered applications, preferably with exposure to delivery considerations such as latency, cost, reliability, or security.</li>
<li>Exposure to retrieval/search systems (e.g., hybrid retrieval, vector search, reranking), and familiarity working with structured and unstructured data stores.</li>
<li>Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience (academic, internship, or industry) preferred.</li>
<li>Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.</li>
</ul>
Breadth of knowledge across data science and machine learning
<br><ul>
<li>Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li>
<li>Practical experience with feature engineering and data preprocessing.</li>
<li>Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match constraints.</li>
</ul>
Delivery mindset and consulting skills
<br><ul>
<li>Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li>
<li>Interest in applying AI to solve real-world business problems in a client-facing environment.</li>
</ul>
Working Model & Travel
<br><ul>
<li>This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li>
<li>Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li>
</ul>
U.S. Compensation Information
<br><br>
For all locations, the good-faith reasonable annualized full-time compensation for this role is commensurate with competitive geographic market rates. Additionally, in some locations compensation may vary based on several factors including, but not limited to relevant experience, education, licensure/certifications, training and skill level.
<br><br>
Compensation for this role in the United States includes a monthly base salary of $9,000 and Bain's best-in-class benefits package (details listed below).
<br><br>
<ul>
<li>Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</li>
<li>Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li>
</ul>
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.
<br>References
<br><br>
Visible links
<br>1. https://www.bain.com/about/awards-recognition/
<br>2. https://www.bain.com/careers/work-with-us/integrated-teams/ai-insights-solutions-ais/

ML-AI Engineering Intern

Apple

<p>At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Data Products Engineering team is seeking an ambitious and versatile Data engineer to help lead the design and scale of key data systems, delivering data products that solve exciting business problems. Responsibilities range from designing and implementing core stream-processing and batch-processing capabilities, to supporting privacy preserving critical pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will be a leading voice in our technology strategy and its delivery, developing and mentoring team members. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 8+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!<br>
<br>
<b>Description</b><br>
<br>
At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. As a part of the data organization, we work at the cutting edge of data engineering, machine learning, and privacy at Apple's scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. As a part of this team, as a Data Engineer, you will * Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond * Collaborate with a team of world-class data engineers and product managers to apply leading-edge techniques and technologies that process petabytes of realtime streaming and batch events * Require a strong understanding of the intersection between business, analytics, and engineering resulting in a proactive approach, focusing on reusable solutions, to improve efficiency and time to insight * Must be able to work in a rapidly changing environment and perform effectively in a sprint-based, agile development environment * Join and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity. We are one team, nurturing each other&rsquo;s growth and supporting each other in delivering for our customers and Apple<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Ability to communicate effectively with cross-functional technical and non-technical teams<br>
<br>
Comfortable working in a rapidly changing environment with ambiguous requirements<br>
<br>
Comfortable with rotating on-call for mission-critical applications<br>
<br>
Prior experience in advertising industry is a huge plus!<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
8+ years of industry experience building distributed, scalable data pipelines and data platforms<br>
<br>
Proven track record of successful and timely software product delivery with complex dependencies<br>
<br>
Demonstrated innovative, critical thinking and troubleshooting skills<br>
<br>
Excellent collaborative skills<br>
<br>
History of motivating teams to meet aggressive goals and innovate<br>
<br>
Proficiency with modern programming languages (e.g. Java/Scala/C++) and ease with picking up new technologies independently<br>
<br>
Strong computer science and data engineering fundamentals<br>
<br>
Expertise in data modeling and Iceberg lake house implementation<br>
<br>
Proficiency in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)<br>
<br>
Experience building and scaling systems on premise and in the cloud<br>
<br>
Strong technical skills with proven experience developing, architecting, and supporting scalable data infrastructure<br>
<br>
Passion for data quality, code elegance, clear documentation, cost saving and operational excellence<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Data Engineer

Contact Government Services, LLC

<div><div>Desktop/Workstation Design Engineer</div>
<div>Employment Type: Full-Time, Experienced</div>
<div>Department: Information Technology</div>
<div></div>
<div>CGS is seeking an experienced Desktop/Workstation Design Engineer to participate in architecture discussions, system reviews, design planning, and technology roadmap planning for current and future desktop integration efforts.
</div>
<div></div><div>CGS brings motivated, highly skilled, and creative people together to solve the government&rsquo;s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.</div>
<div></div>
<div>Skills and attributes for success:</div>
<ul><li>Acts as the Subject Matter Expert for the development and implementation of the Desktop Operating System (OS) Images.
</li></ul><ul><li>The candidate engineers&rsquo; robust solutions for large-scale deployment of software using OS deployment technologies such as Microsoft Endpoint Configuration Manager (MECM) and the Microsoft Deployment Toolkit (MDT).
</li></ul><ul><li>Develops tests and implements software distribution packages, to include updates to software applications to be applied to desktops, laptops, tablets, and servers used within the enterprise.
</li></ul><ul><li>Provides information and recommendations to meet various user-based software requirements.
</li></ul><ul><li>Strong familiarity with scripting languages such as Powershell and VB script.
</li></ul><ul><li>Implements server OS deployment methodologies to include automated server build processes.
</li></ul><ul><li>Provides support for an OS patching infrastructure such as HCL BigFix or Windows Update/MECM that applies mandatory security updates to enterprise systems.
</li></ul><ul><li>Analyzes, evaluates, and recommends desktop, laptop, tablet, and server hardware.
</li></ul><ul><li>Performs security related tasks which include, documentation, vulnerability scan review, assessment support, patch management, and auditing as required.</li></ul>
<div></div>
<div>Qualifications:</div>
<ul><li>The ideal candidate for this position will possess experience with integrating and upgrading desktops and laptops from the Windows 7 operating system to Windows 10 operating system, upgrading Microsoft and 3rd party applications, and have experience with litigating software such as Ipro and Concordance.
</li></ul><ul><li>The ability to work independently with only minor guidance is a must. Our team is engineering a Windows 10 image on an Intel based system which will be integrated with Microsoft Exchange 2013, Microsoft Office 2013, and various 3rd party applications.
</li></ul><ul><li> Windows OS engineering experience</li></ul>
<ul><li> Understanding of the application of security controls on the image</li></ul>
<ul><li> Microsoft Office engineering experience</li></ul>
<ul><li> Integrating anti-virus applications in an image</li></ul>
<ul><li> VPN/Remote access (Cisco Secure Access with RSA a plus)</li></ul>
<ul><li> Windows Scripting experience</li></ul>
<ul><li> Good writing skills</li></ul>
<div></div>
<div>Ideally, you will also have:</div>
<ul><li> VB and/or VBA coding experience a plus</li></ul>
<ul><li> VDI/Citrix experience</li></ul>
<ul><li> SMS/SCCM experience a plus</li></ul>
<ul><li> Understanding of PKI</li></ul>
<ul><li> VMWare experience</li></ul>
<ul><li> Litigating software such as Ipro and Concordance</li></ul>
<div></div>
<div>Our Commitment:</div>
<div>Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client&rsquo;s specific needs. We are committed to solving the most challenging and dynamic problems.</div>
<div></div>
<div>For the past seven years, we&rsquo;ve been growing our government-contracting portfolio, and along the way, we&rsquo;ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.</div>
<div></div>
<div>Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.</div>
<div></div>
<div>We care about our employees. Therefore, we offer a comprehensive benefits package.</div>
<ul><li> Health, Dental, and Vision</li></ul>
<ul><li> Life Insurance</li></ul>
<ul><li> 401k</li></ul>
<ul><li> Flexible Spending Account (Health, Dependent Care, and Commuter)</li></ul>
<ul><li> Paid Time Off and Observance of State/Federal Holidays</li></ul>
<div></div>
<div>Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>
<div></div>
<div>Join our team and become part of government innovation!</div>
<div></div>
<div>Explore additional job opportunities with CGS on our Job Board:</div>
<div>https://cgsfederal.com/join-our-team/</div>
<div>For more information about CGS please visit: https://www.cgsfederal.com or contact:</div>
<div>Email: info@cgsfederal.com</div>
<div></div>
<div>#CJ</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.</p></div>

Desktop/Workstation Design Engineer

Handshake

<div>
 <strong>
  About Handshake
  <br/>
  <br/>
 </strong>
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 <br/>
 <br/>
 <strong>
  Why Join Handshake Now
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
  </li>
  <li>
   Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
  </li>
  <li>
   Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
  </li>
  <li>
   Build a massive, fast-growing business with billions in revenue
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Software Engineer
 </strong>
 , you will contribute to the development of critical systems that power how users join and trust our platform; spanning user acquisition, onboarding, identity, and fraud prevention. You will work alongside experienced engineers and cross-functional teams to deliver reliable, scalable, and high-performance software solutions. This role is ideal for someone with a strong foundation in software engineering principles and the drive to grow through meaningful, impactful work.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Contribute to the design and implementation of platform systems that support user acquisition, onboarding, and identity infrastructure.
  </li>
  <li>
   Help build and maintain fraud prevention systems to protect the integrity of our platform.
  </li>
  <li>
   Write high-quality code and support robust testing strategies to ensure product reliability.
  </li>
  <li>
   Collaborate with product managers, designers, and senior engineers to create seamless user experiences from first touch through activation.
  </li>
  <li>
   Actively participate in code reviews and learn from experienced engineers to accelerate your technical growth.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Capabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of software engineering experience, with a backend-leaning full stack orientation.
  </li>
  <li>
   Foundational proficiency in programming languages such as Java, Python, or Ruby.
  </li>
  <li>
   Familiarity with building or contributing to platforms and scalable infrastructure systems.
  </li>
  <li>
   Exposure to cloud platforms like AWS or Azure.
  </li>
  <li>
   Ability to break down problems, take ownership of well-scoped tasks, and see them through to completion.
  </li>
  <li>
   Strong problem-solving skills and eagerness to tackle new technical challenges.
  </li>
  <li>
   Clear communication skills and a collaborative, team-first mindset.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Extra Credit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Interest in identity, trust &amp; safety, or fraud prevention.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks
  <br/>
  <br/>
 </strong>
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 <br/>
 <br/>
 The below benefits are for full-time US employees.
 <br/>
 <br/>
 🎯
 <strong>
  Ownership:
 </strong>
 Equity in a fast-growing company
 <br/>
 <br/>
 💰
 <strong>
  Financial Wellness:
 </strong>
 401(k) match, competitive compensation, financial coaching
 <br/>
 <br/>
 🍼
 <strong>
  Family Support:
 </strong>
 Paid parental leave, fertility benefits, parental coaching
 <br/>
 <br/>
 💝
 <strong>
  Wellbeing:
 </strong>
 Medical, dental, and vision, mental health support, wellness stipend
 <br/>
 <br/>
 📚
 <strong>
  Growth:
 </strong>
 Learning stipend, ongoing development
 <br/>
 <br/>
 💻
 <strong>
  Remote &amp; Office:
 </strong>
 Internet, commuting, and free lunch/gym in our SF office
 <br/>
 <br/>
 🏝
 <strong>
  Time Off:
 </strong>
 Flexible PTO, 15 holidays + 2 flex days
 <br/>
 <br/>
 🤝
 <strong>
  Connection:
 </strong>
 Team outings &amp; referral bonuses
 <br/>
 <br/>
 Explore our mission, values, and comprehensive US benefits at
 <strong>
  joinhandshake.com/careers
 </strong>
 .
 <br/>
 <br/>
 Compensation Range: $145K - $170K
 <br/>
 <br/>
</div>


Software Engineer, Acquisition & Identity

Arcade

<div>
 <strong>
  About Arcade
  <br/>
  <br/>
 </strong>
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 <br/>
 <br/>
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 <br/>
 <br/>
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 <br/>
 <br/>
 <strong>
  Overview Of Role
  <br/>
  <br/>
 </strong>
 We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands-on model development with integration of cutting-edge AI techniques into production systems. You&rsquo;ll contribute to research, model experimentation, and implementation working closely with cross-functional teams to bring AI-driven products to life.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
  </li>
  <li>
   Develop tools and pipelines that support scalable, efficient, and production-ready AI systems
  </li>
  <li>
   Collect, clean, and analyze large-scale datasets to improve model performance and reliability
  </li>
  <li>
   Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency
  </li>
  <li>
   Design and deploy text-to-image models and LLM-based applications, including advanced prompt engineering, fine-tuning, and multi-component workflows
  </li>
  <li>
   Maintain and monitor deployed models in cloud-based production environments
  </li>
  <li>
   Stay current with developments in generative AI, contribute to the research environment, and apply new developments to enhance pipeline performance
  </li>
  <li>
   Communicate technical concepts clearly across technical and non-technical audiences
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, AI/ML, or a related field
  </li>
  <li>
   Strong proficiency in Python and familiarity with Linux environments; hands-on experience with machine learning libraries like PyTorch, TensorFlow,, etc.
  </li>
  <li>
   Strong fundamentals in machine learning concepts, with a deep understanding of algorithms and their underlying mechanics ("under the hood")
  </li>
  <li>
   Familiarity with training, fine-tuning, and evaluating models, especially with large-scale datasets
  </li>
  <li>
   Familiarity with data preprocessing, cleaning, and feature engineering
  </li>
  <li>
   Awareness of recent developments in generative AI, diffusion models, and LLMs
  </li>
  <li>
   Familiarity with cloud platforms and deploying AI models in cloud-based environments
  </li>
  <li>
   Excellent problem-solving and analytical thinking skills with close attention to detail
  </li>
  <li>
   Excellent communication and collaboration skills in a fast-paced and collaborative environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional
  <br/>
  <br/>
 </strong>
 Competitive compensation
 <br/>
 <br/>
 Lunch provided daily
 <br/>
 <br/>
 Company events
 <br/>
 <br/>
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
 <br/>
 <br/>
</div>


Applied AI Engineer

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