Remote AI Engineer Jobs

Candidates should possess proficiency in programming languages such as Python, R, or Java, along with hands-on experience with AI frameworks like TensorFlow, PyTorch, or scikit-learn. Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics is required, as is expertise in at least one domain including Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Generative AI. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for…

Candidates must possess a Master's degree in Robotics, Computer Science, Engineering, or a related technical field, along with 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. A proven track record in developing or testing large-scale Machine Learning systems, strong understanding of simulation platforms and methodologies, hands-on expertise in implementing robust validation methods and evaluation strategies, strong software engineering…

Candidates should possess 2+ years of experience as an AI Engineer, demonstrating a proven ability to build and deploy successful AI-enabled solutions, along with strong programming skills in languages such as Python and expertise in developing and deploying AI and ML models. Familiarity with AI and ML frameworks is also required, as well as advanced knowledge in machine learning and associated algorithms.

Candidates should possess 6+ years of experience in software development, demonstrating expertise in modern programming languages, and a passion for AI and its transformative potential. They should also exhibit strong problem-solving and analytical skills, coupled with a track record of driving innovation in fast-paced, iterative development environments, and excellent communication skills with a collaborative mindset.

Candidates should possess a degree in Computer Science or equivalent professional experience with a strong understanding of data structures, algorithms, and distributed systems. Prior work experience is preferred, although not required.

Candidates should possess a deep understanding of AI technologies and product offerings, along with a proven track record in sales, particularly in building relationships and negotiating high-value deals with senior executives. Strong communication and interpersonal skills are essential, as well as the ability to adapt to a fast-paced environment and manage changing priorities.

Candidates should have a proven track record in product marketing, with experience leading cross-functional teams to launch and scale successful products in a dynamic market. A deep understanding of the market, customers, and competition is essential.

Candidates must possess over 7 years of recruiting experience within high-growth, US-headquartered tech startups. Proven expertise is required in hiring for difficult-to-fill roles, utilizing sourcing tools, conducting market research, and developing personalized outreach strategies. The ability to analyze recruiting metrics and market data to refine strategies and provide feedback to hiring managers is essential. Candidates should be quick learners, adaptable to change in a fast-paced environme…

Candidates should have 5+ years of experience in a test engineering role, including 3+ years with Pytest, Selenium, or similar frameworks. A proven track record of leading and executing AI/ML feature testing with expertise in manual and automated UI testing is required, along with proficiency in Python or Javascript. Strong knowledge of SDLC and QA methodologies, experience with test case management and bug tracking tools, and experience leading projects with distributed teams or vendors are als…

Candidates should have a PhD or equivalent research experience with a strong publication record in machine learning, AI, statistics, or related fields. Expertise or deep curiosity in areas such as efficiency, optimization, reasoning, multimodality, agentic systems, or human-AI collaboration is required, along with solid machine learning and NLP fundamentals and experience in shaping and executing original research. The role also requires the ability to collaborate across disciplines and geograph…

Candidates must have a minimum of 10 years of security engineering experience with demonstrated technical leadership, or an equivalent combination of related education and work experience. A strong background in data and ML security, with generative AI experience preferred, is essential. Deep understanding of AI/ML security risks such as adversarial attacks, model poisoning, data privacy, and bias is required. Experience with cloud AI/ML platforms (AWS Bedrock, Azure AI, GCP AI Platform, etc.), …

Candidates must possess a Master's degree with 3 years of experience or a PhD in Computer Science or a related field focusing on AI/ML, robotics, HCI, or NLP. Strong programming, technical writing, and communication skills are essential, along with the ability to comprehend and reproduce academic results and mentor junior colleagues. Experience working with a fully remote team is also required. Desired qualifications include a strong publication record, experience with patents, familiarity with …

Candidates should possess a Master’s degree in Computer Science or a related field, and have 12+ years of software development experience, with at least 8 years of relevant work experience in developing and deploying AI solutions. They should be proficient in Python and C++, and have experience with Deep Learning frameworks. Strong analytical and debug skills, along with the ability to work independently and as part of a team, are also required.

Candidates should possess 10+ years of Product Management experience, a track record of creating AI and/or workflow automation products, and ideally, prior experience in Accounting/Finance or Fintech. A technical or engineering background is desired, along with a strong understanding of current generation AI technology.

Candidates should have 5+ years of experience in a pre-sales role for a deeply technical product with a track record of owning multi-level technical sales, early-stage startup experience is highly desirable, experience with data processing, machine-learning systems, MLOps and machine learning infrastructure is required, working knowledge by applying popular machine learning frameworks (Pytorch, Tensorflow, etc) and data processing frameworks (Spark, Flink, Beam etc) to building production grade …