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software engineer (all levels)

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intern software engineer quality assurance

Hayden AI

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 <br/>
 <br/>
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 <br/>
 <br/>
 <strong>
  About The Engineering Operations Team
  <br/>
  <br/>
 </strong>
 The Engineering Operations Team drives quality, tooling, and deployment across our systems and development lifecycle. We work on test automation, build internal tools to support triage and debugging workflows, and assist with project execution.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an Intern at Hayden AI, you will play a hands-on role in ensuring the quality and reliability of the technology that powers our automated enforcement solutions for cities and transit agencies around the world. In this role you will contribute to test automation efforts, build internal tools to support triage and debugging workflows, and assist with project coordination across the engineering organization.
 <br/>
 <br/>
 You will report into the Engineering Operations Team and work closely with QA Engineers, Technical Program Managers, and Project Engineers. We're looking for someone who is detail-oriented, enjoys solving operational problems, and has foundational experience in software development, scripting, or testing. Curiosity and a bias toward building practical solutions are a must.
 <br/>
 <br/>
 This position is based in San Francisco and follows a hybrid schedule with at least 3 days in-office per week.
 <br/>
 <br/>
 <strong>
  <strong>
   Key Responsibilities
   <br/>
   <br/>
  </strong>
 </strong>
 Below are your primary responsibilities. These represent the core areas where you&rsquo;ll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.
 <br/>
 <br/>
 <ul>
  <li>
   Develop and maintain automated tests used in validation across software and system components
  </li>
  <li>
   Build internal tools to assist with issue triage, debugging, and diagnostic workflows
  </li>
  <li>
   Support project coordination activities including tracking milestones, documenting progress, and flagging blockers
  </li>
  <li>
   Collaborate with engineers across disciplines to identify quality gaps and contribute to process improvements
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.
 <br/>
 <br/>
 <ul>
  <li>
   Education:
  </li>
  <ul>
   <li>
    Currently in your final year of a Bachelor&rsquo;s program, or enrolled in a Master&rsquo;s or PhD program in Computer Science, Mechanical Engineering, or a related technical field.
   </li>
  </ul>
  <li>
   Technical Experience:
  </li>
  <ul>
   <li>
    Experience in one or more of the following programming languages:
   </li>
   <ul>
    <li>
     Python
    </li>
    <li>
     Typescript
    </li>
    <li>
     Cypress
    </li>
   </ul>
   <li>
    Some experience in: front end or front end testing, embedded systems validation, model evaluation
   </li>
  </ul>
  <li>
   Personal Attributes:
  </li>
  <ul>
   <li>
    Detail-oriented with a high bar for quality and accuracy.
   </li>
   <li>
    Curious and self-driven, motivated to dig into problems and find root causes.
   </li>
   <li>
    Strong communicator who can clearly document findings and surface issues to the right stakeholders.
   </li>
   <li>
    Collaborative team player who thrives in cross-functional environments.
   </li>
   <li>
    Organized and reliable, with the ability to manage multiple tasks and follow through consistently.
   </li>
   <li>
    Comfortable with ambiguity and able to make progress with limited direction.
   </li>
  </ul>
 </ul>
</div>


Intern, Software Engineer - Quality Assurance

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 <br/>
 <br/>
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 <br/>
 <br/>
 <strong>
  Job Title:
 </strong>
 Machine Learning Operations Engineer
 <br/>
 <br/>
 <strong>
  Company:
 </strong>
 Hayden AI Technologies, Inc.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 <br/>
 <br/>
 <strong>
  Position Duties
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Optimize orchestration processes to ensure efficient deployment and management of AI models.
  </li>
  <li>
   Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
  </li>
  <li>
   Upgrade throughput to enhance scalability and responsiveness of AI systems.
  </li>
  <li>
   Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
  </li>
  <li>
   Ship new features and updates rapidly while maintaining high levels of quality and reliability.
  </li>
  <li>
   Deploy and monitor machine learning models produced by deep learning engineers.
  </li>
  <li>
   Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
  </li>
  <li>
   Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
  </li>
  <li>
   Maintain accurate and updated software development documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Degree Requirements
  <br/>
  <br/>
 </strong>
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 <br/>
 <br/>
 <strong>
  Experience Requirement
  <br/>
  <br/>
 </strong>
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 <br/>
 <br/>
 <strong>
  Other Special Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   One (1) year of work experience with all of the following:
  </li>
  <ul>
   <li>
    Deploying real-world applied computer vision (including deep learning models) on edge devices
   </li>
   <li>
    Python programming and software design
   </li>
   <li>
    C++
   </li>
   <li>
    Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
   </li>
   <li>
    Automated data annotation
   </li>
   <li>
    Distributed training in the cloud
   </li>
   <li>
    Deploying and managing GPU clusters for ML pipelines and workflows
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Rate of Pay:
 </strong>
 $135,699.00 to $190,000.00 per year
 <br/>
 <br/>
 <strong>
  Location of Position and Interview:
  <br/>
  <br/>
 </strong>
 Hayden AI Technologies, Inc.
 <br/>
 <br/>
 460 Bryant Street, Suite 100
 <br/>
 <br/>
 San Francisco, CA 94107
 <br/>
 <br/>
 <strong>
  Applicants Should Submit Resumes To
  <br/>
  <br/>
 </strong>
 Janet Le-Mcintosh
 <br/>
 <br/>
 janet.le@hayden.ai
 <br/>
 <br/>
 Hayden AI Technologies, Inc.
 <br/>
 <br/>
 460 Bryant Street, Suite 100
 <br/>
 <br/>
 San Francisco, CA 94107
</div>


Machine Learning Operations Engineer

MERCOR

<div><p>A prestigious tech company is seeking a Software Engineer II to join their Safe Ads Experiences (SAE) team. This team is building the next-generation data collection platform SPECTRA, which will shape the future of how human-labeled data is collected and used in the company's systems. The role offers the opportunity to impact responsible advertising, user data privacy, and public trust through data-driven insights.</p><p><b>
Responsibilities</b></p><ul><li>
Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform, ensuring robust end-to-end functionality and meeting project release timelines
</li><li>Design and develop data processing pipelines using SQL and Python to handle large-scale data collection, transformation, and quality monitoring workflows
</li><li>Build and maintain dashboards and visualization tools to provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams
</li><li>Create comprehensive end-to-end tests and monitoring alerts to ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow
</li><li>Debug and troubleshoot complex data flow issues across the SPECTRA platform, identifying root causes and implementing solutions to maintain high system availability
</li><li>Collaborate closely with Technical Leads and engineering teams to implement backend data processing logic and ensure adherence to development standards and best practices
</li><li>Partner with Product Data Operations (PDO) teams to coordinate human labeling workflows, budget planning, vendor management, and rater performance optimization
</li><li>Work with Taxonomists and Data Labeling Analysts to ensure proper data classification, labeling guidelines implementation, and quality assurance processes
</li><li>Coordinate with vendor partners to support external data collection operations, ensuring seamless integration with SPECTRA's multi-review and quality monitoring systems
</li><li>Support smart sampling initiatives and targeted data collection strategies that have delivered significant cost savings and improved data quality across advertising systems
</li></ul><p><b>Qualifications</b></p><ul><li>
Experience in SQL development writing complex queries, data transformations, and working with large datasets in production environments
</li><li>Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles
</li><li>Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows
</li><li>Hands-on experience with data visualization and dashboard tools such as Tableau or similar platforms for creating actionable insights from large datasets
</li><li>Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions
</li><li>Experience with data quality monitoring and automated testing frameworks to ensure data accuracy, completeness, and reliability
</li></ul><div>Preferred Qualifications:<br>
<ul><li>Degree in Computer Science or related field</li><li>Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics</li><li>Experience building and scaling large products or systems</li><li>Experience with building privacy and ads-related products is a big plus</li><li>Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations</li><li>Prior experience working with the company or its internal tools is a plus
</li></ul></div><p>Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.</p><p><b>
About Cincinnatus</b></p><p>
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.</p><p>
Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.</p><p>
Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus.</p><p><b>
Equal Employment Opportunity</b></p><p>
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.</p><p>
Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.</p></div>

Software Engineer II

Realign

<div>San Francisco, California 94016 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> ServiceNow Data Migration Engineer</p><p><b>
Location:</b> San Francisco, CA</p><p></p><p><b><br>
Job Description:</b><br>
We are seeking an experienced <b>ServiceNow Data Migration Engineer</b> to join our team. The ideal candidate will have a strong background in ServiceNow implementations, data migrations, and software development. This role involves configuring ITSM applications, developing solutions, migrating data, and participating in testing and Agile processes.</p><p><b>
Key Responsibilities:</b></p><ul><li>Perform ServiceNow data migrations and ensure accurate data transformation and integration.</li><li>Configure and implement ServiceNow ITSM applications in alignment with approved design plans.</li><li>Implement modules including Incident Management, Problem Management, Change Management, Knowledge Management, Service Catalog, Mobile App, and Virtual Agent.</li><li>Develop ServiceNow solutions using JavaScript, Jelly, Web Services, XML, HTML, and CSS.</li><li>Create SQL and LDAP queries to extract and migrate data from Oracle, MySQL, and Active Directory.</li><li>Establish repeatable processes for development, test, staging, and production environments with high reliability.</li><li>Participate in unit testing, system integration testing, performance testing, user acceptance testing, and client-specific testing.</li><li>Collaborate with project team members in Agile/Scrum ceremonies, including planning, pre-iteration, and retrospectives.</li><li>Communicate effectively with both technical and non-technical stakeholders.</li></ul><p><b>
Required Qualifications &amp; Skills:</b></p><ul><li>ServiceNow Certified Systems Administrator</li><li>Strong experience with ServiceNow data migrations</li><li>Experience with ServiceNow ITSM modules</li><li>Knowledge of software development lifecycle (SDLC)</li><li>Familiarity with Agile/Scrum methodology</li><li>Basic understanding of ITIL/industry standards</li><li>Strong interpersonal and communication skills</li></ul><p><b>
Education:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science or a related field</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

ServiceNow Data Migration Engineer-7

Apple

<p>Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us!<br>
<br>
We are a multi-functional team focused on building platforms and tools that enhance the engineering design processes behind millions of Apple products-including iPhone, iPad, Apple Watch, AirPods, Vision Pro, and more. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale.<br>
<br>
<b>Description</b><br>
<br>
We are seeking a top-tier AI Application Engineer with strong architectural thinking, deep AI/ML knowledge, and robust software development skills to help design, build, and deploy intelligent systems powered by machine learning and large language models (LLMs).<br>
<br>
In this role, you'll work at the intersection of applied AI and software engineering-translating ground breaking research into practical, scalable tools. You&rsquo;ll take ideas from feasibility studies and rapid prototypes to production-ready solutions with intuitive, high-quality user experiences. Your contributions will shape how engineering teams make faster, smarter decisions across many Apple hardware programs.&quot;,&quot;responsibilities&quot;:&quot;Serve as a founding engineer to shape the project&rsquo;s technical foundation.<br>
<br>
Partner with hardware teams to define AI product features and scope.<br>
<br>
Benchmark, adapt, and integrate AI/ML models into existing software systems.<br>
<br>
Architect and implement the end-to-end software solution.<br>
<br>
Deploy and support AI tools for hardware engineering teams.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Hands-on experience developing AI-powered applications<br>
<br>
Experience designing and deploying agentic AI systems<br>
<br>
Extensive knowledge with popular LLMs such as Gemini, Claude, and GPT<br>
<br>
Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)<br>
<br>
Demonstrated ability to bring innovative AI research into production systems<br>
<br>
Hands-on experience with cloud services and containerization technologies<br>
<br>
Additional experience in Java or C++ is a plus<br>
<br>
Master's or PhD in Computer Science, Computer Engineering, or a related field<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS and a minimum of 3 years relevant industry experience<br>
<br>
Strong understanding of generative AI models, particularly large language models (LLMs)<br>
<br>
Proficiency in Python<br>
<br>
Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes<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 $139,500 and $210,100, 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>

AI Application Engineer

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

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

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