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<h3>Job Description</h3>
Job Description
Overview
Circet USA is the leading provider of Network Services in North America, and we're looking for talented professionals to join our team. We specialize in engineering and construction services delivering comprehensive solutions across Inside Plant, Outside Plant, and Wireless networks to meet the evolving infrastructure needs of our customers.
With nearly 50 years of industry experience, we work with major telecom service providers, MSOs, cloud service providers, and utilities. At Circet USA, you'll have the opportunity to make an impact by helping to create customized solutions that address our clients' unique challenges. If you’re passionate about innovation and thrive in a dynamic environment, we’d love to hear from you.
Circet USA’s benefits package includes the following:
<ul>
<li>Medical, Dental, and Vision insurance</li>
<li>Digital Health &amp; Wellness Support</li>
<li>Critical Illness, Accident, &amp; Hospital Insurance</li>
<li>Short-term &amp; Long-term disability </li>
<li>Group term &amp; Voluntary life insurance</li>
<li>Flexible Spending and Health Savings Accounts </li>
<li>Paid Time Off &amp; 401K</li>
<li>Company Discount Website</li>
</ul>
 
Responsibilities
A Drive Test Technician is responsible for executing mobile and stationary RF testing to validate wireless network performance. This role supports engineering teams by collecting field data to optimize coverage, capacity, and quality of service across 5G technologies. This position requires 100% travel.
This position will support the Northeast region which consists of the following states:
<ul>
<li>MN, VT, NE, MA, RI, CT, NY, NJ, PA, DE, MD, DC, VA</li>
</ul>
ESSENTIAL DUTIES &amp; RESPONSIBILITIES include the following. Other duties may be assigned:

<ul>
<li>Drive Testing: Operate drive test equipment (e.g., TEMS Pocket, X-CAL, QXDM) in vehicles or on foot to collect RF data across designated routes and clusters.</li>
<li>Perform a Speed Test</li>
<li>Data Collection &amp; Upload: Capture logs for RSRP, SINR, PCI, throughput, and scanner data. Upload results to centralized servers for post-processing and validation. </li>
<li>Properly follow the test files naming conventions.</li>
<li>Reporting: Communicate with Circet and client point of contacts throughout the process and to escalate issues as necessary.</li>
</ul>
 
Qualifications
<ul>
<li>
<ul>
<li>High school diploma or equivalent required; technical certifications preferred.</li>
<li>Familiarity with wireless technologies: LTE, VoLTE, CDMA, 5G, MIMO, Carrier Aggregation strongly preferred.</li>
<li>1–3 years of experience in RF testing or field technician roles desired.</li>
<li>Experience with DAS, small cells, or CRAN installations is beneficial.</li>
<li>Must have good computer skills.</li>
<li>Must have a valid U.S. driver’s license and clean driving record. </li>
<li>Willingness to travel and work flexible hours, including weekends.</li>
<li>Willingness and ability to work overtime</li>
</ul>
</li>
</ul>
Circet USA is an Equal Opportunity Employer - Veteran/Disabled. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. 
Pay Range in the United States: $20/hr - $26/hr based upon geography, skills, and experience. May also be eligible for performance incentive opportunity based on company and individual goals and performance.

Drive Test Technician - Northeast Region

<h3>Job Description</h3>
Job DescriptionMust-Have Python, PubSub, Google Cloud Platform Good-to-Have Dataflow, Cloud Functions, Cloud RunEvent-driven architecture choreography patterns strong understanding of distributed systems, asynchronous communication, and event orchestration without central control. Python development with GCP SDKs hands-on experience building and deploying backend services using Google Cloud Platform (e.g., Pub Sub, Dataflow, Cloud Functions, Cloud Run), including familiarity with RPC-style APIs under the hood. Schema design serialization formats expertise in working with Avro (and ideally other formats like Protobuf JSON) for defining, evolving, and validating event schemas.

Google Cloud Platform (GCP) Python Developer

<h3>Job Description</h3>
Job DescriptionForward Deployed Data ScientistLocation: Boston, MA preferred, remote may be consideredType: Full-timeStage: Seed-stage AI StartupIndustry: B2B SaaS / Artificial IntelligencePlease Note:&nbsp;&nbsp;Due to security requirements, this position is limited to U.S. citizens. All applicants must be able to provide proof of U.S. citizenship to be considered. &nbsp;
As a Forward Deployed Data Scientist (FDDS) at Growth Signals, you'll work directly with enterprise customers to help them get real value from our GenAI platform. You'll be their primary technical partner, combining data science expertise with product knowledge and customer success to solve their toughest challenges.
In this role, you'll translate business problems into practical solutions—building custom agentic workflows on our platform that help enterprises make better strategic decisions powered by AI.
Key Responsibilities
Work directly with customers:
<ul>
<li>Partner with executives and operational teams to understand their business challenges and identify where our GenAI platform can have the biggest impact</li>
<li>Act as the technical expert on our platform, translating business needs into agentic workflows and custom solutions</li>
</ul>
Build and implement solutions:
<ul>
<li>Integrate customer data sources and APIs into our platform's research agents and AI workspace</li>
<li>Design and deploy custom LLM workflows and agents for analyzing complex customer data</li>
<li>Develop and automate data science workflows tailored to each customer's needs</li>
<li>Own the full implementation—from initial discovery through deployment and adoption</li>
</ul>
Required Qualifications and Skills
Technical skills:
<ul>
<li>Master's degree with 3+ years of experience (including 1+ year client-facing) or Bachelor's degree with 6+ years of experience in data science, ML engineering, or technical consulting. SaaS experience is a plus.</li>
<li>Strong data engineering skills (ETL, pipelines, cloud data warehousing) combined with data science fundamentals (modeling, statistics)</li>
<li>Hands-on experience with LLMs—building solutions, prompt engineering, and working with GenAI frameworks</li>
<li>Proficiency in Python and NoSQL databases (MongoDB)</li>
<li>Experience with statistical modeling, machine learning, and model evaluation</li>
<li>Familiarity with cloud platforms (Azure, AWS, or GCP) and production deployment practices</li>
</ul>
Working style:
<ul>
<li>Experience working with both technical and non-technical stakeholders</li>
<li>Comfortable in an early-stage startup environment—you're self-directed and thrive with ambiguity</li>
<li>Willing to travel up to 50% for on-site customer work</li>
<li>Able to communicate technical concepts clearly to business audiences</li>
</ul>
About Us
We’re building the future of AI-driven strategic innovation, and we’re looking for people who are excited to join us at the ground floor. As a seed-stage B2B startup, we’re on a mission to help teams accelerate discovery, validate concepts faster and scale impact across the organization, and we believe customer obsession is our unfair advantage. As an early member of our team, you’ll shape how we engage, retain, and grow our product &amp; customers.
Our Culture
We’re builders, learners, and problem-solvers who take pride in delivering real value to our customers. We believe in fast feedback loops, radical transparency, and taking smart bets. If you’re energized by ambiguity, thrive in startup chaos, and care deeply about helping customers succeed, we’d love to hear from you.
Why Join Us
<ul>
<li>Be one of the first 10–20 employees at a high-potential AI startup</li>
<li>Shape not just your role, but how we build and scale</li>
<li>Competitive salary + early-stage equity</li>
<li>Flexible remote-first culture</li>
<li>Opportunity to work directly with founders and shape product and customer strategy</li>
<li>Build relationships with innovative customers solving hard problems with AI</li>
</ul>
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cyohRoGAMT

Forward Deployed Data Scientist

<h3>Job Description</h3>
Job Description
MERL is looking for a highly motivated intern to work on an original research project on audio-visual learning, with a focus on spatial audio, training models using limited labeled data. A strong background in computer vision, audio processing, and deep learning is required. Experience in audio-visual (multimodal) learning, weakly/self-supervised learning, Room Impulse Response (RIR) estimation, and large (vision-) language models is an added plus and will be valued. The successful candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI, and possess solid programming skills in Python and popular deep learning frameworks such as Pytorch. The intern will collaborate with MERL researchers to develop and implement novel algorithms and prepare manuscripts for scientific publications. Successful applicants are typically graduate students on a Ph.D. track or recent Ph.D. graduates. Duration and start date are flexible, but the internship is expected to last for at least 3 months.
Required Specific Experience 
<ul>
<li>Prior publications in top-tier computer vision and/or machine learning venues, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI.</li>
<li>Knowledge of the latest self-supervised and weakly-supervised learning techniques.</li>
<li>Experience with Large (Vision-) Language Models, Spatial audio processing techniques.</li>
<li>Proficiency in scripting languages, such as Python, and deep learning frameworks such as PyTorch or Tensorflow.</li>
</ul>
The pay range for this internship position will be $6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. 
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Internship - Audio-Visual Learning for Spatial Audio Processing

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 
Responsibilities:
<ul>
<li>Use data science and machine learning principles to develop effective predictive models</li>
<li>Write software to prepare, clean, and sample data for use in developing predictive models</li>
<li>Use cloud resources (e.g., Amazon Web Services) to prepare and process data</li>
<li>Query and extract data from databases (Snowflake)</li>
<li>Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy</li>
<li>Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm</li>
<li>Solve challenging, uncharted problems</li>
<li>Work in an environment that thrives on teamwork and continuous learning opportunities</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred</li>
<li>M.S. or Ph.D. in a related field highly desired</li>
<li>5+ years of experience with machine learning, statistical modeling, and optimization techniques</li>
<li>Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)</li>
<li>Proficient in linear algebra and statistics</li>
<li>Familiar with scientific software principals, e.g. versioning systems, reproducibility</li>
<li>Experience in the manufacturing industry is desired</li>
<li>Must be a US Citizen or Green Card holder (ITAR)</li>
</ul>
The estimated base salary range for new hires into this role is $140,000-$182,000 annually (+ commission OR + annual bonus) depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Senior Data Scientist, Costing

<h3>Job Description</h3>
Job Description
About us
Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes.
With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions.
We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide.
Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance.
TL; DR 🤓
Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked.
We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community.
&amp;#x1F4B0; Competitive salary + Stock-Options/BSPCE
🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint.
✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure.
&amp;#x1F4BB; Technology -&nbsp;new MacBook Pro, monitor, keyboard, etc.
🏖️&nbsp;Socials - Quarterly company retreats, weekly Happy Hour &amp; Game Time
🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English &amp; French).
✨ About the role ✨
<ul>
<li>
You'll be the&nbsp;eleventh engineer&nbsp;in the ML team, working alongside great talent from various backgrounds.
</li>
<li>
You will have&nbsp;full ownership&nbsp;of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes.
</li>
<li>
You will master the whole pipeline, from training models to putting them into production and monitoring their performance.
</li>
<li>
You will work on new features, new applications, and some 0→1 solutions.
</li>
<li>
You will get&nbsp;fast feedback&nbsp;from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that.
</li>
<li>
You will work within a&nbsp;small multicultural team&nbsp;composed of ~75 passionate, friendly &amp; committed folks.
</li>
</ul>
✨ About you ✨
<ul>
<li>
You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch.
</li>
<li>
You have a deep experience with diffusion models, for image creation or edition**.** You’ve trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training.
</li>
<li>
You are always the most&nbsp;pragmatic&nbsp;person in the room.
</li>
<li>
You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel.
</li>
<li>
You have experience working on products requiring complex architectures.
</li>
<li>
You have a strong sense of ownership.
</li>
<li>
You take initiative and you are at ease to make product &amp; technical decisions.
</li>
<li>
You have worked as part of a talented team and have experience in a fast-growing startup.
</li>
<li>
You’re curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility.
</li>
<li>
You are fluent in English (French is not required!).
</li>
</ul>
✨ Hiring Process ✨
<ul>
<li>
Screening call with our Head of AI
</li>
<li>
Home technical assignment, reviewed with the team
</li>
<li>
Culture fit interview and meet the team!
</li>
<li>
Reference check &amp; Offer
Support&nbsp;-&nbsp;If you have a&nbsp;medical condition or an&nbsp;individual need for an&nbsp;adjustment to our process, and you&nbsp;believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
</li>
</ul>
Diversity, Equity, Inclusion, and Belonging
We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.
That's also why we have flexible working hours, trust people to work remotely, and extended parental leave.
All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Senior/Staff Applied Scientist - Relocate to Europe!

<h3>Job Description</h3>
Job Description
MERL is seeking an intern to work on physics-informed scientific machine learning algorithms for problems governed by partial differential equations (PDEs). The ideal candidate would be a PhD student in engineering, computer science, or related fields with a strong background in scientific machine learning for PDEs. Preferred skills include experience with autoencoders, transformers, or diffusion models. Strong coding abilities in Python and a deep learning framework such as Pytorch are essential. The intern will work closely with MERL researchers to develop novel algorithms, conduct numerical experiments, and prepare results for publication. The duration is expected to be at least 3 months with a flexible start date.
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. 
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Internship - Physics-Informed Machine Learning for PDEs

<h3>Job Description</h3>
Job DescriptionZoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands how to deal with telemetry data from a growing fleet of vehicles. You will be instrumental in finding &amp; detecting performance-related trends and anomalies across the robot fleet. The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet expected system performance and software stability targets. As an automation engineer within the Software Performance team, you will create automated monitoring and analysis for performance tooling into the software release process to identify fleet-wide trends or anomalies and put detailed performance data at the fingertips of performance experts for quick and efficient investigations.In this role, you will:
<ul>
<li>Automate common workflows &amp; processes for performance data storage and analysis.</li>
<li>Contribute to new data products to enable Engineering and Operations teams to gain access to insights from our varied and complex autonomous vehicle fleet dataset.</li>
<li>Make data more accessible to the rest of the software organization to get insights into stability and performance issues via standardized queries, dashboards, and automated alerts.</li>
<li>Create custom data queries on a large pool of dense performance metrics and build automation flows to extract relevant log segments for efficient triage &amp; investigation.</li>
<li>Work cross-functionally to create automatic detection of anomalies in performance or stability metrics across the fleet and devise automatic triage pipelines to steer them to the best owners.</li>
</ul>
Qualifications
<ul>
<li>3+ years of professional experience in software development or related fields and BS in computer science or related field</li>
<li>Proficient with building data pipelines that ingest very large amounts of data from vehicles and structure it in ways that is quick and easy to execute queries on</li>
<li>Strong knowledge of Python &amp; SQL and continuous integration systems (Github/Gitlab CI, Jenkins, etc)</li>
<li>Savvy with efficient queries on data platforms such as DataBricks, Looker, and with ETL pipelines</li>
<li>Solid statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders</li>
</ul>
Bonus Qualifications
<ul>
<li>Familiarity with Git and Bazel</li>
<li>Proficiency with LLMs and agentic AI for process automation</li>
<li>Experience with large-scale vehicle or device health telemetry</li>
</ul>
 Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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.

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