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job_organization_name

city

state

<h3>Job Description</h3>
Job Description
<ol>
<li></li>
<li>M/E&nbsp;Engineering&nbsp;(is now Salas O’Brien Consulting and Engineering Group of New York, Inc.) is currently interviewing for a Senior Plumbing/Fire Protection Engineer&nbsp;in our Buffalo, NY office.&nbsp; We are a full-service MEP engineering firm providing design and technology services to our clients. Our team of nearly 200 engineers and design professionals work to create built environments that support a sustainable future for the communities we live in, work in, and care deeply about. M/E Engineering&nbsp;is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people.</li>
</ol>
Responsibilities
<ul>
<li>Possesses a professional attitude showing interest in M/E's reputation and growth.</li>
<li>A fully competent engineer in all conventional aspects of the area of their assignment.</li>
<li>Plans and conducts work requiring judgment in independent evaluation, selection, adoption and modifications of standard techniques and procedures.</li>
<li>Works with the Principal, Associate or Project Manager to finalize Project Scope and Schedule of deliverables and understands priorities identified.</li>
<li>In addition to duties of project engineer/project designer,&nbsp;applies advanced practices and techniques, adjusts and correlates data, recognizes discrepancies and follows projects through program, schematic, design development, construction document, bidding and construction phases.&nbsp; </li>
<li>Supervises, coordinates and reviews work, schedules and assigns work to meet completion dates.</li>
<li>Develops reports, studies, and system analysis.</li>
<li>Works in an efficient an effective manner and makes good decisions.</li>
<li>Evaluates&nbsp;application of substitute equipment.</li>
<li>Reviews final adjustment of equipment and systems after installation.</li>
<li>Writes or contacts client directly except in controversial matters.</li>
<li>Ability to represent the firm at meetings and cover all trades, which may require further follow through.</li>
<li>Is assisted on projects by other engineers and/or designers.</li>
<li>Estimates workforce needs and schedules and assigns work to meet completion date and updates the project manager as to status and resources available.</li>
<li>Mentors and trains younger engineers and designers.</li>
<li>Performs other related duties as assigned.</li>
</ul>
Education and Experience
<ul>
<li>Preferably has a Professional Engineering License (P.E.) or Engineer-in-Training (E.I.T.) working toward P.E. Licensing.</li>
<li>Bachelor of Science or equivalent.</li>
<li>Eight years of experience in responsible charge of project design in respective discipline plus advanced courses, training program, or seminars relating to Engineering and Management.</li>
</ul>
Compensation Range
<ul>
<li>The compensation range for this position is $87,360&nbsp;to $120,000 per year.&nbsp;</li>
</ul>
M/E Engineering (is now Salas O’Brien Consulting and Engineering Group of New York, Inc.) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by federal, state, or local laws. 
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j3epIGJ0Su

Senior Plumbing/Fire Protection Engineer

<h3>Job Description</h3>
Senior Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.&nbsp;

What you’ll do in the role:&nbsp;
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
<ul>
<li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.&nbsp;
</li>
<li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
</li>
<li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.&nbsp;
</li>
<li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.&nbsp;
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
</li>
<li>
Construct optimized data pipelines to feed ML models.&nbsp;
</li>
<li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.&nbsp;
</li>
<li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.&nbsp;
</li>
<li>
Use programming languages like Python, Scala, or Java.&nbsp;
</li>
</ul>

Basic Qualifications:
<ul>
<li>
Bachelor’s Degree
</li>
<li>
At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
</li>
<li>
At least 3 years of experience designing and building data-intensive solutions using distributed computing&nbsp;
</li>
<li>
At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)&nbsp;
</li>
<li>
At least 1 year of experience productionizing, monitoring, and maintaining models&nbsp;
</li>
</ul>

Preferred Qualifications:
<ul>
<li>
1+ years of experience building, scaling, and optimizing ML systems
</li>
<li>
1+ years of experience with data gathering and preparation for ML models
</li>
<li>
2+ years of experience developing performant, resilient, and maintainable code
</li>
<li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
</li>
<li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field&nbsp;
</li>
<li>
3+ years of experience with distributed file systems or multi-node database paradigms
</li>
<li>
Contributed to open source ML software&nbsp;
</li>
<li>
Authored/co-authored a paper on a ML technique, model, or proof of concept
</li>
<li>
3+ years of experience building production-ready data pipelines that feed ML models&nbsp;
</li>
<li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance&nbsp;
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer
 &nbsp;
New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer
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Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer

<h3>Job Description</h3>
Job Description
We are a YC-backed AI startup building the worlds most advanced real-time Speech AI coach used in online calls. Over the past six months, weve grown from $100k to $5M ARR, raised $2.5M from top-tier investors, and assembled a world-class engineering team (ex-Google, Nvidia, Lyft, Amazon) solving hard problems in voice, ML, and real-time infrastructure.
We are looking for a senior, hands-on engineer to lead development of our real-time Voice AI Agent and internal ML toolkit. Youll own end-to-end systems across real-time audio, applied ML, and production deployment working directly with our CEO and CTO.
What Youll Do
<ul>
<li>
Build and scale our Real-Time Voice AI Agent (LiveKit/WebRTC): streaming ASR/TTS, VAD, diarization, state machines, session management, latency/QoS tuning.
</li>
<li>
Develop our ML toolkit and ship models to prod (ASR, TTS, VAD, embeddings, speaker ID). DSP, ffmpeg/decoding, ONNX/TensorRT, reproducible pipelines.
</li>
<li>
Contribute to backend when needed (Nest.js/Node.js, REST/OpenAPI, Postgres/Supabase).
</li>
<li>
Work on applied ML around LLMs: RAG, function-calling, routing, safety, A/B testing.
</li>
<li>
Design reliable real-time systems: backpressure, retries, idempotency, batching, caching.
</li>
<li>
Build data workflows: collection, cleaning, anonymization, synthetic data, offline/online eval.
</li>
<li>
Own observability &amp; SLOs: Prometheus, Grafana, Sentry, tracing, alerting.
</li>
<li>
Deploy and operate infra: Docker, GitHub Actions, LiveKit Cloud, Modal/AWS (GPU inference).
</li>
</ul>
What We Value
<ul>
<li>
Ability to move fast and deliver (high-intensity, startup mindset).
</li>
<li>
Experience in big tech / strong VC-backed startups / Yandex / research labs.
</li>
<li>
Any founder experience (even failed).
</li>
<li>
Strong engineering fundamentals + taste in product &amp; design.
</li>
<li>
Open-source contributions, ML/algorithms background, Kaggle/CF/olympiads are a plus.
</li>
<li>
A public presence: blog, Twitter, engineering posts bonus points.
</li>
<li>
Clear communication and ability to explain complex systems simply.
</li>
</ul>
We do not hire from outsourcing firms, Web3, or gambling.
What We Offer
<ul>
<li>
High-ownership role with direct impact on product and roadmap.
</li>
<li>
Work directly with CEO/CTO every day.
</li>
<li>
Competitive salary + meaningful equity (company valued at ~$20M last year).
</li>
<li>
Fully async remote, any timezone (via Deel).
</li>
<li>
US visa support (O-1).
</li>
<li>
12 global offsites per year (last one Bali).
</li>
<li>
Clear growth path: compensation increases with delivered projects.
</li>
</ul>

Lead AI Engineer (Speech / Voice)

<h3>Job Description</h3>
Job Description
About Us
Catalyst Labs is a specialized talent partner with a focus on recruiting top-tier engineers across Software, Data, and AI-driven domains. We are deeply embedded in our clients’ technical hiring operations. 
We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems
Our Client:
A fast-growing technology company that embeds top engineering talent directly into customer environments to solve high-impact operational and data challenges. They help enterprises rapidly build and scale mission-critical applications that drive measurable business outcomes. The company bootstrapped to generate $25M in revenue and raised $6.7M in total funding, supporting its continued growth and expansion.
Location: Hudson Yards, NY
Work type: Full time, Hybrid (travel required 10 to 30% of the time)
Overview This role is centered around partnering directly with customers to solve their most valuable and complex problems. As a Forward Deployed Software Engineer, you will work hand-in-hand with stakeholders to design, build, and maintain high-impact applications that drive real business change. Your day-to-day work involves understanding mission-critical objectives, transforming enterprise data into operational workflows, and delivering tools that executives and frontline teams rely on to make informed decisions.
You’ll move fast rapidly iterating, building systems from scratch, and enabling organizations to modernize their operations at exceptional speed. Beyond writing code, you will play a key role in reshaping how entire teams operate by delivering powerful, data-driven solutions that directly influence business outcomes.
Key Responsibilities
<ul>
<li>
Work closely with customer stakeholders to understand their most critical business objectives and translate them into high-impact technical solutions.
</li>
<li>
Architect, develop, and maintain applications that operationalize enterprise data and drive measurable business outcomes.
</li>
<li>
Build end-to-end workflows using large structured and unstructured datasets in production environments.
</li>
<li>
Iterate rapidly, often building systems from scratch, to help customers transform their operations at exceptional speed.
</li>
<li>
Collaborate directly with executives, operators, and cross-functional teams to deploy tools that meaningfully improve business processes.
</li>
<li>
Own projects autonomously taking full responsibility for delivery, implementation, and long-term success.
</li>
<li>
Embed with customer teams as needed, providing both technical expertise and on-the-ground support.
</li>
<li>
Travel to client sites as required (typically 10 to 33%) to support implementations and ensure successful adoption.
</li>
<li>
Work hybrid/on-site at company offices (London, New York, Washington D.C., or Denver) and at customer locations during key phases of deployment.
</li>
</ul>
Qualifications 
Required
<ul>
<li>
Bachelor’s or Master’s degree in Computer Science or a related field.
</li>
<li>
1 to 5 years of experience as a fullstack engineer, data engineer, or FDE
</li>
<li>
Strong analytical and problem-solving skills, with the ability to break down complex challenges and deliver practical, production-ready solutions.
</li>
<li>
Proficiency in Python and/or TypeScript.
</li>
<li>
Demonstrated experience building applications that leverage large datasets in real-world production environments.
</li>
<li>
Proven track record of delivering measurable outcomes through codewhether as a software engineer, data scientist, or technical analytics lead.
</li>
<li>
Ability to work independently and own outcomes end-to-end while also collaborating effectively with technical and non-technical stakeholders.
</li>
<li>
Excellent communication and interpersonal skills to work closely with customers and internal teams.
</li>
<li>
Willingness to travel for customer implementations (10 to 33% depending on project).
</li>
<li>
Enthusiasm for working hybrid-in-person at one of the company’s office locations and onsite with customers.
</li>
</ul>
Preferred
<ul>
<li>
Experience working with Palantir Foundry and/or AIP.
</li>
<li>
Experience delivering production ML or LLM-based solutions.
</li>
<li>
Experience building production React frontend applications.
</li>
<li>
Familiarity with Spark, distributed computing, or large-scale data processing frameworks.
</li>
</ul>
 

Note: We adhere to strict data protection policies to ensure that your information is secure and only shared with potential employers with your explicit consent to ensure your confidentiality throughout the hiring process

Forward Deployed Engineer (FDE)

<h3>Job Description</h3>
Job DescriptionDescription:

RK Pharma Inc, a vertically integrated pharmaceutical company with our main manufacturing site in Pearl River, NY, is seeking an Engineering Associate to work with our growing Engineering and Manufacturing Teams as we scale towards commercial manufacturing in the next upcoming months. As a company focused on the development, manufacturing and sale of high quality and affordable generic pharmaceutical products worldwide we are looking for sharp, driven, self-directed individuals to help us grow our mid-stage start-up team. 
This position is located in Pearl River, NY and is required to be onsite.
Requirements:

If this sounds interesting to you, it’s probably because up to this point you have:
<ul>
<li>High school diploma or GED required; Engineering degree or trade school degree preferred.</li>
<li>2–4 years of engineering and maintenance experience, preferably in a pharmaceutical, manufacturing, or regulated environment.</li>
<li>Strong knowledge of manufacturing processes and equipment. </li>
<li>Familiarity with cGMP, GDP, and standards a plus.</li>
<li>Proficiency in Microsoft Office (Word, Excel, Outlook, PowerPoint) and experience with ERP or document management systems (e.g., SAP, Master Control).</li>
<li>Excellent organization, time management, and communication skills.</li>
</ul>
 
The main responsibilities for this position are:
<ul>
<li>Responsible for maintaining Electrical Systems (Panels, MCCs, Distribution Panels, etc.), water systems (soft water, RO, WFI and Clean Steam), HVAC system (AHUs, chillers, Heat exchangers)</li>
<li>Responsible for daily walk throughs and make sure all Equipment’s and utilities are working well</li>
<li>Coordinate with Technicians and Electricians to complete assigned PM, troubleshooting jobs in timely manner</li>
<li>Assist Engineering team in Temperature Mapping of the stability chambers.</li>
<li>Provide assistance to external vendors as and when required</li>
<li>Assist and support Engineering team on day-to-day activities</li>
<li>Assist and support EHS team as and when required</li>
<li>If this sounds like something that is of interest to you, please don’t hesitate to apply to start a conversation.</li>
</ul>
 
We look forward to getting to know more about you and the skills you can bring to a company like RK Pharma Inc.
 
RK Pharma Inc is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

Engineering Associate

<h3>Job Description</h3>
Job DescriptionOn-Call IT Field Technician – PC, Mac, POS and TV Mounting

IT Field Technician - On Call - NY-NJ- Hiring NOW

<h3>Job Description</h3>
Job Description
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
Start date: ASAP Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
If you're passionate about applied AI and enjoy solving real problems in a fast-paced environment, wed love to meet you.
Responsabilities:
<ul>
<li>
Design, implement, and fine-tune machine learning models for production-grade use cases.
</li>
<li>
Curate and manage datasets used in training, validation, and evaluation.
</li>
<li>
Work closely with engineers to integrate ML models into larger systems and monitor their performance in production.
</li>
<li>
Ensure that AI solutions are efficient, maintainable, and aligned with business objectives.
</li>
<li>
Maintain thorough documentation for reproducibility and team collaboration.
</li>
</ul>
Required qualifications:
<ul>
<li>
Solid hands-on experience with AI/ML systems from development to deployment.
</li>
<li>
Proficient in Python; familiarity with TypeScript or Go for integration tasks is a plus.
</li>
<li>
Strong command of tools and frameworks such as PyTorch, Transformers, Llama-factory, VLLM, Megatron-LM, and CUDA.
</li>
<li>
Comfortable working with cloud environments (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
</li>
<li>
Strong communication and team collaboration skills. 
</li>
</ul>
Preferred qualifications:
<ul>
<li>
Experience deploying models at scale in production environments.
</li>
<li>
Familiarity with CI/CD and DevOps workflows for ML applications.
</li>
<li>
Previous experience in high-paced, innovation-driven environments (e.g., startups).
</li>
<li>
Background in systems-level optimization for machine learning workloads.
</li>
</ul>
Why This Role Will Pivot Your Career 
<ul>
<li>Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.</li>
<li>Customer impact: Deploy AI solutions powering Fortune 500 clients.</li>
<li>Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&amp;B CoreWeave).</li>
<li>Funding &amp; growth: Oversubscribed seed round, next funding in 2026.</li>
<li>Career growth &amp; influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.</li>
<li>Culture &amp; autonomy: Own critical systems while collaborating with world-class engineers.</li>
<li>Aspirational impact: Solve frontier-level AI/ML challenges that few engineers encounter.</li>
</ul>
Benefits 
<ul>
<li>Competitive salary &amp; equity options</li>
<li>Sign-on bonus</li>
<li>Health, Dental, and Vision</li>
<li>401k</li>
</ul>

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 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.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process

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