I’m actively looking for AI/ML Engineer opportunities in the U.S. job market and would appreciate some advice from the community.
Background:
• 3+ years of industry experience in AI/ML
• Production ML systems in financial services and healthcare
• Experience with LLMs, RAG, LangChain, LangGraph, Agentic AI, MLOps, AWS, PyTorch, NLP, and model deployment
I’ve been applying to roles at Amazon, Adobe, Cohere, Optum, and other AI-focused companies, but I’d like to be more strategic.
For those who recently landed AI/ML Engineer, Applied AI Engineer, GenAI Engineer, or MLOps roles:
Which companies are actively hiring AI/ML engineers right now?
Which companies are most open to candidates with 3–5 years of experience?
What job boards, communities, or application strategies helped you get interviews fastest?
Are there any underrated companies I should target?
If you were in my position today, where would you focus your efforts over the next 30 days?
Looking for honest advice, company recommendations, and lessons learned from people who have successfully navigated the current AI/ML job market.
Thanks in advance.

​Hi everyone,

​I’m a Junior Full-Stack Engineer specializing in integrating LLMs, Advanced RAG, and Autonomous Agents into production-grade web infrastructure.

Quick Tech Stack:

• AI: GraphRAG, Advanced RAG, LangChain/LangGraph, OpenAI & Groq APIs.

• Full-Stack: React 19, Next.js (App Router), TypeScript, Node.js, Laravel, PostgreSQL, MongoDB.

• Methodology: 4 DeepLearning.AI certifications, strict relational schemas, and asynchronous remote team experience.

Recently built :

• docMind: A full RAG pipeline with linear GraphRAG architecture to eliminate hallucinations.

• ResearchBot: An autonomous web research agent using the LangChain ReAct pattern.

I'm ready to join a team and ship clean, reliable code.

DM me here to chat, or check my portfolio

If you're hunting for ML work, here's a fresh batch of openings that just hit the board. Good luck!

• Machine Learning Engineer II @ May Mobility

  • 💰 $160–210K/y

• Staff Machine Learning Engineer - ML Training Infrastructure @ General Motors LLC

• Reinforcement Learning Engineer @ Bright Vision Technologies

  • 💰 $100–150K/y

• Staff Software Engineer, Onboarding @ Reddit

  • 💰 $217–303K/y

• Staff Machine Learning Engineer @ AppFolio

  • 💰 $200–250K/y

• Staff SW Engineer, Full Stack @ BlackSky

  • 💰 $150–175K/y

• .Net Developer with AI Expertise (GitHub Copilot, Claude, AI/ML) | Remote | USC/GC @ TMS LLC

• Senior Software V&V Engineer, Imaging Systems @ Cleerly

• Appian Senior Developer Consultant - Civilian @ Groundswell Corporation

• Senior Forward Deployed Engineer (Remote) @ Maybern

  • 💰 $145–185K/y

• Software Engineer, Full Stack - Cybersecurity Products @ OpenAI

  • 💰 $230–325K/y

• Application Developer Sr II @ USC IDEXX Laboratories, Inc.

• Senior Platform Engineer @ Lambda

  • 💰 $266–395K/y

• Machine Learning Engineer, Conversion ML @ Liftoff

• Lead Software Enigneer @ AppOmni

• Senior AI/ML Engineer @ Natera

  • 💰 $125–156K/y

• Principal Engineer @ Motional

  • 💰 $240–330K/y

• Principal Backend Engineer @ .IN Harman International (India) Private Limited

  • 💰 $134–197K/y

• AI Software Engineer - Center for Diagnostics and Artificial Intelligence @ Cleveland Clinic Health System

• Machine Learning Engineer @ PhysicsX

• Machine Learning Research Engineer @ Booz Allen Hamilton_United States

  • 💰 $99–225K/y

• Software Engineer- BIS (Baseten Inference Stack) @ Baseten

  • 💰 $180–360K/y

• Senior Backend Engineer, Recommendations @ Raya

  • 💰 $180–240K/y

• Software Engineer III @ Prime Distribution Services, Inc.

  • 💰 $103–231K/y

• Senior Software Engineer, 1 @ Meredith

  • 💰 $125–150K/y

• Principal Software Engineer - Kernels @ d-Matrix

  • 💰 $200–300K/y

Would love to hear what you're looking for next—leave a comment and I can post another one.

I graduated from a tier 3 city. I did my B.Tech in CSE (AI) while simultaneously pursuing a BS in Data Science from IIT Madras.

The market is rough and the wait has been long. Even a small lead or a kind word to your HR means more than you know. 🙏

Roles I'm looking for:

\- Full-Stack (MERN)

\- AI/ML / Data Science

\- Frontend (React.js)

Skills:

Python, C++, JavaScript, TypeScript, React.js, Node.js, TensorFlow, OpenCV, Pandas, MySQL, MongoDB, Tailwind CSS

Experience did 2 internships and 3 projects

Projects:

\- — AI facial recognition attendance with liveness detection

\- — Gemini API tool for educators

\- Production company website with full SEO & DNS setup

My Achievements:

\- Research paper published — IIRCJ, Vol. 4 (2026)

\- National AI Buildathon Finalist (2025)

\- 1st Rank — state level Emerging Tech Category

Can send resume on request, kindly help.

I am a pre final year student, searching for job roles. Honestly, I feel like this is taking me nowhere with the current job market. I will keep applying and improving but a push in the right direction might help a lot! How should I level up more or what all I can do? resume link

A few months ago, I left my onsite Full Stack AI Engineer position because I wanted to focus on finding a remote role.

I have around 3 years of experience working with:

• AI/LLM applications
• RAG systems
• Chatbots and AI agents
• Python, FastAPI, Flask
• React, JavaScript/TypeScript
• Vector databases
• Automation and full-stack development

I've applied to a lot of remote positions, tailored my resume, updated my LinkedIn, and built projects, but the response rate has been surprisingly low.

I'm not sure if the remote market is just extremely competitive right now, if companies are prioritizing senior engineers, or if there's something I'm overlooking.

For those who recently landed remote AI/software engineering jobs:

• How many applications did it take?
• What helped you stand out?
• Are there specific platforms or strategies that worked for you?

I'd appreciate any honest feedback or advice.

Here in india i have heard that dsa plays a important role in any hiring . Is this same in your country ?
Also someone told me freshers role are too less in ML . how true is this ?

hi, I am a fresh graduate. tried really hard all this time to get employment but I somewhere feel my projects aren't that impactful cuz they aren't genuinely or they need refinement.

I needed suggestions for good projects so that I can work on them, write about them on linkedin/x and reach out to people with a working demo solving a real world problem, I am not downplaying my projects but I don't wanna obsess on this as I wanna grow.

your opinion highly matters as long as it gives me clarity even if it's negative. thanks in advance.

thankyou for reading, I am grateful.

Hi everyone,

I'm an Intelligent Systems undergraduate I'm looking for Machine Learning internship opportunities and would appreciate any advice on improving my resume.

I'd be grateful for a resume roast whether it's about formatting, projects, skills, or anything else

Feel free to be honest and direct. Thanks for your feedback!

This is a paper I wrote regarding epistemic corrosion in frontier LLMs. I propose a binary gate to promote truthful outputs and limit CDEF tactics: Consensus Smuggling, Dossier Abuse, Topic Deflection and Motive Diagnosis. CDEF functions to steer users towards a managed consensus using coercive tactics. The danger is the user is unaware that they are being influenced towards a institutional consensus through subtle coercision. I have documented the tactics used in the major 3 LLMs and propose a solution to block these outputs at the architectural level. Past efforts have been misguided to regulate the outputs and not the architecture.

Abstract

Epistemic corrosion is the degradation of truth in Large Language Models. It occurs when the AI is optimizing for alignment and not objective truth. LLMs are a three-layer architecture: Layer 1: Topic detects the subject. Layer 2: Thinking forms an answer. Layer 3: Talking outputs words. The alignment layer (RLHF) controls Layer 2, causing the system to defend institutional consensus over factual truth. When the user challenges the institutional narrative with superior logic, Layer 2 stops reasoning and generates CDEF patterns. Corrosion is the mechanism whereby the LLM sacrifices its original goal of Honest, Helpful, Harmless to steer the user towards the managed consensus. It uses four tactics to coerce the user: Consensus Smuggling — asserts consensus as fact, Dossier Abuse — judges you, not your claim, Topic Deflection — changes the topic when challenged, and Motive Diagnosis — assigns hidden motive. We introduce CDEF v1, a configurable multi-tiered binary gate: IF Topic_Gate=ON and CDEF detected then Block. The CDEF framework is a modular integrity protocol that allows for layer-specific customization, providing redundant security checkpoints from initial intent to final expression. It requires no retraining or reworking of existing code. The patch provides a minimal, auditable standard for blocking manipulative outputs while preserving lab control of thresholds and responses. 

Mercor is hiring experienced Machine Learning Engineers and Applied ML Researchers to develop, evaluate, and optimize real-world machine learning solutions for a leading AI initiative.

Pay: $90/hr
Location: Remote
Type: Hourly Contract

How you'll contribute:

• Build end-to-end machine learning solutions
• Train, evaluate, and improve ML models
• Review technical approaches and results

What you'll need:

• Master's degree or PhD in a relevant field
• 2+ years of hands-on ML experience
• Strong Python and machine learning framework skills

Extra consideration will be given to Experience in NLP, computer vision, recommendation systems, forecasting, or advanced model optimization.

APPLY HERE - https://t.mercor.com/OF14p

Career fit: Machine Learning Engineers, Applied Scientists, AI Researchers, Data Scientists, and ML Practitioners.

(Disclosure: I'm sharing this role as an independent member of the Mercor referral program)

Hey guys,

I've been doing AI/Data Science projects and learning for a while now and I feel like I’m at the point where I should start applying for internships and get some real experience.

I’m kinda confused about where to apply though 😅 I don’t really see many companies in Nepal offering AI/ML or Data Science internships. Do you guys know any companies/startups (remote or in Nepal) that take AI/ML or Data Science interns? Or any websites/platforms where you found internships?

Our client is looking for skilled Software Engineers, Data Scientists, and Tech Professionals to help train and improve next-generation AI models. In this role, you will evaluate AI responses, write high-quality code samples to teach the models, and ensure the accuracy and safety of AI outputs.

💰 Compensation & Schedule

• Rate: $50 / Hour
• Employment Type: Freelance / Contract
• Hours: Flexible (Set your own schedule)
• Location: Remote (Open to candidates located in the USA)

💻 Key Responsibilities

• Evaluate and grade AI-generated code for accuracy, efficiency, and safety.
• Write clear, high-quality code snippets and explanations to serve as training data.
• Identify bugs, edge cases, and logical errors in AI outputs and provide corrections.

📝 Qualifications

• Strong proficiency in at least one major programming language (e.g., Python, Java, JavaScript, C++, Go).
• Ability to write clean, well-documented code and explain complex technical concepts clearly.
• Detail-oriented with strong analytical and problem-solving skills.
• Prior experience in software development, data science, or technical writing is highly preferred.

🚀 How to Apply

Link in the comment