software engineer   machine learning

Meta

<div>
 Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
 <br/>
 <br/>
 Software Engineer, Machine Learning Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  </li>
  <li>
   Implement custom user interfaces using latest programming techniques and technologies
  </li>
  <li>
   Develop reusable software components for interfacing with back-end platforms
  </li>
  <li>
   Analyze and optimize code for quality, efficiency, and performance
  </li>
  <li>
   Lead complex technical or product efforts and provide technical guidance to peers
  </li>
  <li>
   Architect efficient and scalable systems that drive complex applications
  </li>
  <li>
   Identify and resolve performance and scalability issues
  </li>
  <li>
   Work on a variety of coding languages and technologies
  </li>
  <li>
   Establish ownership of components, features, or systems with expert end-to-end understanding
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  </li>
  <li>
   6+ years of programming experience in a relevant language or 3+ years of experience + PhD
  </li>
  <li>
   Experience building maintainable and testable code bases, including API design and unit testing techniques
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Experience building and shipping high quality work and achieving high reliability
  </li>
  <li>
   Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  </li>
  <li>
   Experience with developing machine learning models at scale from inception to business impact
  </li>
  <li>
   Exposure to architectural patterns of large scale software applications
  </li>
  <li>
   Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  </li>
  <li>
   2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  </li>
  <li>
   Knowledge developing and debugging in C/C++ and Java
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $74.04/hour to $217,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Software Engineer, Machine Learning

<div>
 Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
 <br/>
 <br/>
 Software Engineer, Machine Learning Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  </li>
  <li>
   Implement custom user interfaces using latest programming techniques and technologies
  </li>
  <li>
   Develop reusable software components for interfacing with back-end platforms
  </li>
  <li>
   Analyze and optimize code for quality, efficiency, and performance
  </li>
  <li>
   Lead complex technical or product efforts and provide technical guidance to peers
  </li>
  <li>
   Architect efficient and scalable systems that drive complex applications
  </li>
  <li>
   Identify and resolve performance and scalability issues
  </li>
  <li>
   Work on a variety of coding languages and technologies
  </li>
  <li>
   Establish ownership of components, features, or systems with expert end-to-end understanding
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Experience building maintainable and testable code bases, including API design and unit testing techniques
  </li>
  <li>
   Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  </li>
  <li>
   2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
  </li>
  <li>
   Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  </li>
  <li>
   Experience with developing machine learning models at scale from inception to business impact
  </li>
  <li>
   Exposure to architectural patterns of large scale software applications
  </li>
  <li>
   Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  </li>
  <li>
   Proven experience to translate insights into business recommendations
  </li>
  <li>
   Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  </li>
  <li>
   Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $58.65/hour to $181,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Fidelity Investments

<div><h3 class="jobSectionHeader"><b>Job Description:</b></h3><p><b>
Job Description</b></p><p><b>
</b></p><p>The Asset Management Technology, Graph Technology Team is seeking a highly motivated Full Stack/Machine Learning Engineer. You are passionate about building and deploying production-grade AI applications in the finance domain. In this role, you will be a key technical contributor, owning the entire lifecycle of ML-powered applications. You will collaborate closely with investment professionals (such as quants and portfolio managers) to design, build, deploy, and maintain end-to-end solutions that drive investment decisions.</p><p><b>
THE EXPERTISE AND SKILLS YOU BRING</b></p><ul><li><p>
An advanced degree or equivalent experience in Software Engineering, Computer Science, or a related technical field.</p></li><li><p>
4+ years of experience in a full-stack software or machine learning engineering role, with a proven track record of shipping end-to-end ML products.</p></li><li><p>
Strong proficiency in building scalable backend services and APIs (e.g., using FastAPI, Flask, or gRPC) to serve machine learning models.</p></li><li><p>
Hands-on experience building and deploying applications using modern AI technologies such as Generative AI, Large Language Models (LLMs), Vector Databases, Graph Databases (e.g., Neo4j), and Information Retrieval systems.</p></li><li><p>
Deep understanding of the full MLOps lifecycle, including model evaluation, performance tuning, CI/CD for ML using tools like Jenkins, containerization (Docker, Kubernetes), and monitoring of models in production.</p></li><li><p>
Experience with modern cloud platforms (e.g., AWS, Azure, GCP) and their associated ML services.</p></li><li><p>
Experience building and managing data pipelines and job scheduling using tools like Airflow, Autosys, or similar.</p></li><li><p>
Proficiency in agile coding principles and expertise in writing high-quality, production-ready Python code.</p></li><li><p>
Proficient programming skills in Python and SQL, with experience working with large-scale databases.</p></li><li><p>
Ability to translate complex technical concepts and model results to non-technical audiences.</p></li><li><p>
Passionate about staying ahead of the industry with the latest advancements in AI and software engineering, and eager to drive innovation.</p></li><li><p><i>
Nice to have:</i> Familiarity with a front-end framework (e.g., Streamlit, React, Vue) for rapid prototyping and building user interfaces.</p></li></ul><p><b>
THE TEAM</b></p><p>
The Quant technology team is at the frontier of Fidelity Technology and delivers scalable, innovative, industry-leading investment tools that enable Asset Management to achieve a global advantage. Our work in this groundbreaking initiative will contribute significantly to Asset Management's investment performance and scale and efficiency objectives.</p>
The base salary range for this position is $107,000-216,000 USD per year.
<p>Placement in the range will vary based on job responsibilities and scope, geographic location, candidate&rsquo;s relevant experience, and other factors.</p><p>
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
</p><p>We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.</p><p>
Please be advised that Fidelity&rsquo;s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</p><p>
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.</p><h3 class="jobSectionHeader"><b>
Certifications:</b></h3><h3 class="jobSectionHeader"><b>
Category:</b></h3>
Information Technology</div>

Principal Software Engineer, Machine Learning

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li><div><div>5 years of experience programming in Python or C++.</div></div></li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Computer Science, Machine Learning, Computer Engineering, or a related technical field.</li>
<li>Experience scaling machine learning models (e.g., Large Language Models (LLMs) or foundation models), managing the complexities of transitioning architectures from data-parallel to model, tensor, pipeline-parallel configurations, or related fields.</li>
<li>Experience with deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow), including a track record of contributing to or modifying their core internals to support novel and emerging use cases.</li>
<li>Experience with co-designing hardware-aware optimizations to accelerate model execution.</li>
<li>Knowledge of machine learning compilers (e.g., Accelerated Linear Algebra (XLA) or Multi-Level Intermediate Representation (MLIR)).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
We are the RecML team in Core ML's Applied ML organization. Our mission is to accelerate product innovations through ML for recommendations and user modeling. We deeply engage with Alphabet products areas and partner with them to help accelerate product innovations through applied research in recommendations and user modeling. We generalize successful innovations into standardized, maintainable, and production-grade solutions for use by other teams and products. This opportunity is a horizontal ML infra and efficiency role supporting the training framework of our foundation recommender model and its customers.The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Architect and implement the transition from data-parallel to model-parallel training paradigms.</li>
<li>Design and manage large-scale training runs across multi-pod environments, maximizing data center network bandwidth and minimizing communication bottlenecks.</li>
<li>Research and integrate transformer model optimizations and novel architectural variants to reduce training time and resource consumption.</li>
<li>Write and optimize low-level model code, including custom pallas kernels, to maximize performance out of the hardware.</li>
<li>Work cross-functionally with the team and the Kernel optimization team to co-design and implement compiler-level optimizations that accelerate model execution.</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>

Senior software engineer, Machine Learning, Core ML

RightHand Robotics

<div><h1 class="jobSectionHeader"><b>Senior Software Engineer &ndash; Robotics, Machine Learning &amp; Picking Intelligence</b></h1>
<h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>We are looking for a senior robotics engineer with strong applied machine learning experience to help own and evolve the intelligence behind robotic picking in production.</p>
<p>This is not a research role. You will build, deploy, and continuously improve perception, decision-making, and learning systems that directly affect robot performance in customer warehouses.</p>
<p>You'll work across robotics, ML, and system architecture to improve:</p>
<ul><li>Pick success and reliability</li>
<li>Segmentation and perception quality</li>
<li>Grasp and suction selection strategies</li>
<li>Placement and exception handling</li>
<li>Overall system robustness in the real world</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Work On</b></h2>
<p>Depending on your strengths and interests, you will contribute across areas such as:</p>
<ul><li>Improve pick success, reliability, and throughput across production robots</li>
<li>Build and deploy perception and segmentation models for warehouse environments</li>
<li>Develop intelligent picking, retry, and placement strategies that reduce exceptions</li>
<li>Integrate ML outputs into real-time robotic decision systems</li>
<li>Work hands-on with robots, cameras, and sensor data to harden systems</li>
<li>Use production data to continuously improve performance and robustness</li>
<li>Collaborate closely with hardware, operations, product, and customer teams</li>
</ul><h2 class="jobSectionHeader"><b>Who We're Looking For</b></h2>
<p>We're looking for a senior-level engineer who is either strong across robotics and ML &mdash; or very strong in one with the ability and curiosity to grow in the other.</p>
<h3 class="jobSectionHeader"><b>Required Experience</b></h3>
<ul><li>5+ years of professional experience in robotics, ML engineering, or related fields</li>
<li>Strong Python experience</li>
<li>Experience delivering production-level code</li>
<li>Hands-on experience with real-world systems, including robotics, sensors, or deployed ML</li>
<li>Strong problem-solving mindset and comfort working across system boundaries</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Applied machine learning / MLOps experience (model deployment, iteration, monitoring)</li>
<li>Computer vision experience (segmentation, detection, depth, perception pipelines)</li>
<li>Strong kinematics background</li>
<li>Experience with integrating and calibrating color and depth sensors</li>
<li>Experience with manipulation, picking, grasping, or physical automation</li>
<li>Familiarity with Docker, Linux, and production infrastructure</li>
<li>Experience using production data to draw actionable insights</li>
<li>DevOps experience</li>
</ul><h2 class="jobSectionHeader"><b>Why Join RightHand Robotics</b></h2>
<ul><li>Work on robots in production, not demos</li>
<li>Make tangible impact in a small, senior team</li>
<li>Solve challenging real-world robotics + ML problems</li>
<li>High ownership, high trust engineering culture</li>
<li>Flexible work environment</li>
</ul><h2 class="jobSectionHeader"><b>About RightHand Robotics</b></h2>
<p>At RightHand Robotics, we build intelligent robotic piece-picking systems that operate in real warehouses, at real scale, every day. Our robots don't live in demos or research labs, they power production fulfillment across thousands of SKUs and demanding customer environments.</p>
<p>We are a small, highly practical engineering team focused on shipping reliable, scalable automation that delivers measurable customer value.</p>
<p>If you're excited by solving hard real-world robotics problems, working hands-on with robots, and seeing your work deployed quickly, this role is for you.</p></div>

Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence

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Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence